SecureAI-OS Repository Server

A comprehensive Docker-based repository server providing offline development resources for SecureAI-OS with full Git functionality, data management, and USB drive support.

Quick Start

cd docker/local-repo
docker build -t secureai-local-repo .
docker run -d --name secureai-local-repo \
  -p 8080:80 -p 9418:9418 \
  -v $(pwd)/data:/var/repo \
  -v /run/media:/run/media \
  -v /media:/media \
  -v /mnt:/mnt \
  -v /home:/host/home:ro \
  -v /Users:/host/Users:ro \
  -v /opt:/host/opt:ro \
  -v /var/run/docker.sock:/var/run/docker.sock \
  --privileged \
  secureai-local-repo

For IDE Project Import Support:

# Add your specific development directories
-v /path/to/your/projects:/host/projects:ro
-v $HOME/IdeaProjects:/host/idea:ro
-v $HOME/workspace:/host/workspace:ro

Access at: http://localhost:8080

Navigation

The web interface features an organized dropdown navigation system with categorized submenus:

Dashboard - Main overview and repository population
Git - Git-related functionality
- Browse Repositories - View and clone repositories
- Repository Management - Create, delete, and manage repositories
- Branch Protection - Configure branch protection rules and policies
- Merge Requests - Code review and collaboration
AI - Advanced AI build intelligence
- OS Builder - AI-powered autonomous OS builds with 5 advanced capabilities
- AI System Status - Monitor AI capabilities and learning progress
Tools - Development tools organized by category
- Development - Core development tools
  - Project Templates - Create new projects from pre-built templates
  - Build Manager - Dependency management and build configurations
  - Code Editor - Built-in code editor with syntax highlighting
  - Sandbox Environments - Isolated execution environments with integrated security
- Code Quality - Code analysis and documentation
  - Code Analysis - Automated linting and code quality analysis
  - Code Review - Manual code review tools
  - Comprehensive Review - Advanced code review features
  - Code Coverage - Test coverage analysis and metrics
  - Documentation Generator - AI-powered automated documentation creation
- Infrastructure - System and service management
  - Terraform State Analyzer - Infrastructure state analysis
  - Container Environments - Multi-container development environments
  - Service Orchestration - Multi-service application management
  - Dependency Management - Cross-platform dependency analysis
- Security - Security analysis tools
  - Vulnerability Assessment - Security scanning and remediation
  - AI Model Security - AI model validation and governance
  - Threat Intelligence - Real-time security threat monitoring
- Data & Workspace - Data and workspace management
  - Workspace - Manage workspace and archive data
  - Data Manager - Import/export data to/from USB drives
  - Resource Monitor - System resource monitoring
  - OS Builder - Complete operating system build environment with advanced AI intelligence (5 capabilities)
System - System monitoring and logs
- Status - System status and health information
- Logs - View system and application logs
- Error Diagnosis - Intelligent error analysis and resolution suggestions

Features

🔧 Core Services

Source Packages - Development dependencies and libraries
Git Repositories - Full Git HTTP backend with web interface
AI Models - Local model cache for offline development
Build Cache - Optimized build artifacts storage

📁 Data Management System

Archive/Workspace Separation - Pristine data vs working environment
USB Drive Support - Auto-detection and read/write access to external storage
Import/Export - Transfer data between USB drives and workspace
Disk Selection - Choose storage locations with free space information

🌐 Git Integration

Web Interface - Browse repositories, commits, branches, and files
HTTP Backend - Full Git clone/fetch/pull support
Repository Management - Create, delete, and manage Git repositories via web interface
Branch Management - Create branches from any source branch through web UI
File Viewer - Syntax-highlighted code viewing
Git Administration - Complete web-based Git management system
🔒 Secure Repository Mirroring - Mirror external repositories with comprehensive trust and legal analysis
🛡️ Branch Protection Rules - Enforce branch protection policies and merge requirements
🤖 AI Code Completion - CodeLlama-powered intelligent code suggestions and completion

🔒 Secure Repository Mirroring

Trust Analysis - Comprehensive evaluation of external repositories before mirroring
Country of Origin Detection - Geographic analysis of repository hosting and contributors
Legal Compliance Verification - License detection, export control compliance, redistribution rights
Contributor Trust Assessment - Analysis of contributor patterns and suspicious activity
Security Scanning - Malware detection, binary analysis, Git hook inspection
Read-Only Protection - External mirrors are strictly read-only to prevent tampering
Quarantine System - Failed repositories isolated with admin override capabilities
Configuration Management - Adjustable trust thresholds and blocked country lists

🛡️ Branch Protection Rules & Policies

Branch Pattern Matching - Protect branches using wildcard patterns (main, develop, release/*)
Direct Push Blocking - Require pull requests for protected branches
Review Requirements - Enforce minimum number of code reviews before merge
Admin Enforcement - Apply protection rules to administrator users
Stale Review Dismissal - Automatically dismiss reviews when new commits are pushed
Git Hook Integration - Server-side enforcement via pre-receive hooks
Policy Management - Web-based interface for creating and managing protection rules
Push Permission Checking - Real-time validation of push operations against protection policies

🤖 AI Code Completion & Suggestions

CodeLlama Integration - Local AI model for intelligent code completion
Multi-Language Support - Python, JavaScript, Java, C++, Terraform, and 15+ languages
Context-Aware Completion - Understands code context and provides relevant suggestions
Real-Time Suggestions - Instant AI-powered code completion in the editor
Code Explanation - AI-generated explanations of code snippets
Code Improvement - Suggestions for code optimization and best practices
Offline Operation - Fully local AI model, no external API calls required
7B Model Optimized - Designed to work efficiently with CodeLlama-7B models

🧠 Advanced AI Build Intelligence

Predictive Intervention - Predicts and prevents build failures before they occur
Adaptive Build Strategies - Dynamically adjusts build approach based on environment and failures
Root Cause Analysis - Traces failures to actual causes instead of symptoms
Success Learning Engine - Learns from successful builds to optimize future builds
Context-Aware Fixes - Applies fixes based on build environment and history
Autonomous Build Management - Fully autonomous AI-driven OS builds with real-time issue resolution
Proactive Intelligence - Shifts from reactive error handling to predictive build optimization

🔀 Merge Request/Pull Request System

Web-based Code Review - GitHub/GitLab-style merge request interface
Advanced Diff Visualization - Side-by-side diff with syntax highlighting and inline comments
Interactive Comments - Click-to-comment on any diff line with threading
Conversation Threading - General comments and discussions
Merge Conflict Detection - Automatic conflict checking
Multi-format Diff Support - Git HEAD comparison, file-to-file, custom content

🔍 Built-in Linting & Code Analysis

Multi-language Support - Python, JavaScript, TypeScript, C++, Java code analysis
Automated Quality Checks - Style, security, and best practice violations
Project-wide Analysis - Scan entire repositories or individual files
Security Scanning - Built-in security vulnerability detection
Linter Integration - Support for flake8, pylint, bandit, ESLint, cppcheck

📦 Multi-Container Development Environments

Isolated Workspaces - Separate containerized environments for different projects
Pre-configured Stacks - Python, Node.js, Java, C++ development environments
Container Terminal - Web-based terminal access to development containers
Volume Mounting - Automatic workspace mounting for persistent development
Port Management - Automatic port mapping for web applications
Resource Isolation - CPU, memory, and network isolation per environment
Security Hardening - Read-only containers with restricted privileges
Resource Monitoring - Real-time resource usage tracking and limits

🚀 Project Templates & Scaffolding

Pre-built Templates - Python, Node.js, C++, Flask, Express projects
One-click Creation - Instant project setup with proper structure
Dependency Management - Integrated build configs and package files
Git Integration - Projects created as ready-to-clone repositories
Template System - Extensible framework for custom templates

🔧 Build Management & Dependencies

Project Type Detection - Automatic detection of Python, Node.js, C++, Java projects
Dependency Installation - One-click dependency management (pip, npm, cmake)
Build Automation - Automated build processes with real-time output
Test Integration - Run project tests with visual feedback
Build Status Tracking - Monitor dependency and build artifact status

🎛️ Service Orchestration & Dependency Management

Multi-Service Applications - Docker Compose support with dependency resolution
Service Discovery - Automatic service registration and health monitoring
Dependency Analysis - Cross-platform dependency resolution (npm, pip, maven, gradle)
Conflict Detection - Automatic detection of version conflicts and circular dependencies
Installation Ordering - Optimal dependency installation sequence
Lockfile Generation - Reproducible dependency resolution with lockfiles
Service Scaling - Dynamic service scaling and resource management
Health Monitoring - Continuous service health checks and status reporting

🛡️ Vulnerability Assessment & Remediation

Comprehensive Scanning - Multi-language vulnerability detection (Python, JavaScript, Docker)
Advanced Dependency Vulnerabilities - CVE detection in npm, pip, maven, gradle with version-specific matching
Code Security Analysis - Detection of dangerous functions and patterns
Secret Detection - Identification of exposed credentials and API keys
Container Security - Dockerfile security best practices analysis
File-Level Integration - Real-time dependency scanning in editor and Git file viewer
Repository Awareness - Automatic dependency analysis during repository browsing
Remediation Planning - Automated fix recommendations with version-specific guidance
Multi-Source Detection - Scans requirements.txt, package.json, setup.py, and import statements

📊 Code Coverage Reporting & Metrics

Multi-Language Support - Python, JavaScript, Java coverage analysis
Test Coverage Analysis - Line, branch, and function coverage metrics
Visual Dashboard - Interactive coverage reports with detailed breakdowns
File-Level Analysis - Individual file coverage with missing line identification
Repository Integration - Direct Git repository coverage analysis
Coverage Grading - Automated quality grading (A-F) based on coverage percentages
Historical Tracking - Coverage trend analysis and comparison
Integration - Seamless integration with existing build and test workflows

🔒 Sandboxed Execution Environments

Dual-Mode Operation - Simplified mode (instant) or Docker mode (full isolation)
Multi-Language Support - Python, Node.js, Java, C++, Terraform development environments
Integrated Code Editor - Built-in editor with syntax highlighting and file management
Automatic Linting - Real-time code quality analysis during execution
Vulnerability Scanning - Automatic security scanning of code and dependencies
Resource Isolation - CPU, memory, and network isolation per sandbox (Docker mode)
Security Hardening - Read-only containers with restricted privileges (Docker mode)
Terminal Access - Web-based terminal access to sandbox environments
Bulk Management - Remove individual sandboxes or all sandboxes at once

🚨 Threat Intelligence System

Real-time CVE Feeds - Continuous monitoring of NVD, MITRE, and CISA vulnerability databases
Malware Signature Detection - Pattern-based malware detection with obfuscation and network activity analysis
IOC Monitoring - Indicators of Compromise tracking with threat actor attribution
Supply Chain Attack Detection - Typosquatting detection and suspicious package analysis
Dark Web Monitoring - Credential leak detection and data breach alerts (simulated)
Code Threat Scanning - Real-time scanning of code for malware signatures and IOC matches
Automated Threat Updates - Hourly updates of threat intelligence feeds and signatures
Threat Dashboard - Comprehensive dashboard with metrics, recent threats, and search capabilities

🔍 Diff Visualization & Code Review

Interactive Diff Viewer - GitHub/GitLab-style diff visualization with syntax highlighting
Inline Comments System - Click any line to add comments with author attribution
Multi-format Comparison - Git HEAD, saved files, custom content comparison
Real-time Statistics - Addition/deletion counts and change metrics
Comment Threading - Multiple comments per line with timestamps
Editor Integration - Direct access from all code editors

🤖 AI Model Security & Governance

Model Provenance Tracking - Complete audit trail of model origins, sources, and download history
Integrity Verification - SHA256 checksums and signature validation for model authenticity
AI Safety Guardrails - Real-time detection of harmful code generation patterns
Performance Monitoring - Drift detection and baseline performance tracking
Trust Scoring - Automated trust assessment based on source reputation and characteristics
Violation Detection - Pattern-based safety violation detection with severity classification
Secure Model Registry - Centralized database for all AI model security metadata
Trusted Model Catalog - Curated collection of AI models from UK-allied countries only
Fallback Download Sources - Multiple verified sources with automatic failover
Country-Based Filtering - Blocks models from untrusted jurisdictions (CN, RU, IR, KP, BY)
Federated Learning - Secure collaborative model training without sharing raw data

🏗️ OS Builder with Advanced AI Intelligence & Git-First Build System

Complete OS Build System - Build SecureAI-OS from scratch with Linux kernel, GCC toolchain, and AI integration
Git-First Build Sources - All build files stored in dedicated Git repository with automatic fallback to external sources
Resilient Download System - Continues downloading even if some files fail, with comprehensive error tracking
Git Integration - Automatic Git repository creation for each build with complete source and binary tracking
Resume Downloads - Intelligent resume capability from exact interruption point (8.5%, 25%, 50%, etc.)
Multiple Mirror Sources - 3+ backup sources per package with automatic failover (kernel.org, gnu.org, mirrors.kernel.org)
Build Source Manager - Centralized management of all source files with checksum verification and version control
Advanced AI Intelligence - 5 AI capabilities: Predictive Intervention, Adaptive Strategies, Root Cause Analysis, Success Learning, Context-Aware Fixes
Autonomous Build Management - Fully autonomous AI-driven builds with real-time monitoring and automatic issue resolution
Smart Retry System - One-click retry with enhanced error handling and 30-50% faster rebuilds
Build Templates - Pre-configured templates (minimal-ai, desktop-ai, server-ai, embedded-ai)
Storage Flexibility - Build to internal storage or external USB drives with automatic detection
Real-time Monitoring - Live build progress with 6-step process tracking and failure detection
Success Learning Database - AI learns from successful builds to optimize future build strategies and sequences
Comprehensive Documentation - Auto-generated build reports, security scans, and failure diagnostics

🔧 Error Diagnosis & Resolution System

Intelligent Error Analysis - Pattern-based error recognition with 90%+ confidence for common issues
Automated Solutions - Actionable fix recommendations for connection errors, permission problems, and storage issues
System Health Monitoring - Real-time monitoring of disk usage, memory consumption, and service status
Pattern Matching Engine - Recognition of 10+ error types including network failures, authentication issues, and resource constraints
Severity Classification - Automatic categorization of errors by impact level (Info, Low, Medium, High, Critical)
Prevention Guidance - Proactive recommendations to prevent recurring issues
Admin-Only Access - Secure diagnostic tools requiring authentication to protect system information

⚙️ Advanced Features

Code Editor - Built-in editor with diff and search functionality
Workspace Manager - Separate archive and working environments
System Monitoring - Resource usage and health monitoring
Firefox ESR Compatible - Works with enterprise browser restrictions
Dropdown Navigation - Organized navigation with grouped functionality
API Endpoints - RESTful APIs for all Git operations

Usage Guide

Data Manager

Access: http://localhost:8080/data-manager/

Import from USB:

Insert USB drive (auto-detected)
Select USB drive from dropdown
Choose target (workspace/archive)
Browse and select files
Click Import

Export to USB:

Select source data type
Choose USB drive destination
Browse target directory
Click Export

Git Repositories

Access: http://localhost:8080/git-repos/

Clone Repository:

git clone http://localhost:8080/git/repo-name.git

Web Interface:

Browse files and directories
View commit history and diffs
Navigate branches and tags
Download individual files

Branch Protection Rules

Access: http://localhost:8080/branch-protection/

Create Protection Rule:

Select repository from dropdown
Click "Add Protection Rule"
Configure rule settings:
- Branch Pattern: main, develop, release/* (supports wildcards)
- Block Direct Push: Require pull requests for changes
- Required Reviews: Minimum number of code reviews (0-10)
- Enforce Admins: Apply rules to administrator users
- Dismiss Stale Reviews: Auto-dismiss when new commits pushed
- Admin Users: Comma-separated list of users who can bypass rules
Click "Create Rule"

Protection Features:

Pattern Matching: Use wildcards to protect multiple branches (feature/*, hotfix/*)
Git Hook Enforcement: Server-side pre-receive hooks block unauthorized pushes
Admin Bypass: Designated admin users can override protection rules
Review Requirements: Enforce code review workflows before merging
Real-time Validation: Push operations validated against protection policies

Common Protection Patterns:

# Protect main branch - require reviews, block direct push
Pattern: main
Settings: Block Direct Push ✓, Required Reviews: 2

# Protect all release branches
Pattern: release/*
Settings: Block Direct Push ✓, Required Reviews: 1, Enforce Admins ✓

# Protect development branch with admin bypass
Pattern: develop
Settings: Block Direct Push ✓, Admin Users: admin,maintainer

Git Hook Integration: Protection rules are enforced via Git pre-receive hooks that:

Check branch patterns against protection rules
Block direct pushes to protected branches
Validate user permissions and admin bypass
Provide clear error messages for blocked operations

AI Code Completion

Access: Code Editor with 🤖 AI Complete button

Setup CodeLlama Model:

Download CodeLlama-7B model (GGUF format)
Place in /var/repo/models/ directory
Restart container to detect model

Using AI Completion:

Open any file in the Code Editor
Position cursor where you want completion
Click 🤖 AI Complete button
Review suggestions and click "Insert" to use

New File Templates:

Empty Files: Automatically provides starter templates
Terraform: Complete AWS provider setup with example resources
Python: Module template with main function
JavaScript: Node.js compatible module template
Java: Basic class with main method

Terraform Resource Completion:

aws_s3_bucket: Bucket configuration with tags
aws_vpc: VPC with DNS settings and CIDR block
aws_instance: EC2 instance with AMI and instance type
aws_security_group: Security group with ingress/egress rules
Variables/Outputs: Proper Terraform variable and output blocks

AI Features:

Code Completion: Context-aware code suggestions with starter templates for new files
Code Explanation: AI explains selected code snippets
Code Improvement: Suggestions for optimization
Multi-Language: Python, JavaScript, Java, C++, Terraform, Go, Rust, PHP, Ruby, etc.
Smart Templates: Automatic starter templates for empty files
Resource-Aware: Terraform resource-specific completions (AWS S3, VPC, EC2, etc.)

📚 Automated Documentation Generation

AI-Powered Analysis - Intelligent code analysis and documentation creation
Multi-Language Support - Python, JavaScript, Java, Terraform, and more
Project Documentation - Complete README, API docs, and architecture documentation
File Documentation - Individual file analysis with functions, classes, and structure
Repository Documentation - Git repository analysis and documentation generation
Multiple Export Formats - Markdown, HTML, and JSON export options
Code Structure Analysis - Automatic detection of functions, classes, imports, and dependencies
Template-Based Generation - Professional documentation templates with consistent formatting

Model Requirements:

Minimum: 8GB RAM for CodeLlama-7B
Storage: 4GB for model file (3.8GB download)
Format: GGUF quantized models (automatically downloaded)
Network: Internet connection required for initial download only

Documentation Generator

Access: http://localhost:8080/documentation/

Generate Project Documentation:

Navigate to Documentation Generator interface
Select "Project Documentation" tab
Enter project path (e.g., /var/repo/workspace/my-project)
Click "Generate Documentation"
Review generated README, API docs, and analysis
Export in desired format (Markdown, HTML, JSON)

Generate File Documentation:

Select "File Documentation" tab
Enter file path (e.g., /var/repo/workspace/main.py)
Click "Generate Documentation"
View detailed function/class analysis

Generate Repository Documentation:

Select "Repository Documentation" tab
Choose repository from dropdown
Click "Generate Documentation"
Get comprehensive project analysis

Documentation Features:

Automatic Analysis: Detects functions, classes, imports, and dependencies
Multi-Language: Python, JavaScript, Java, Terraform, Go, Rust, PHP, Ruby
Project Structure: Analyzes entry points, config files, and project type
Professional Templates: README with installation, usage, and API sections
Export Options: Download as Markdown (.md), HTML (.html), or JSON (.json)
Code Insights: Line counts, complexity analysis, and architectural overview

Secure Repository Mirroring

Access: http://localhost:8080/mirror-manager/

Mirror External Repository:

Navigate to Mirror Manager interface
Enter external repository URL (GitHub, GitLab, etc.)
System performs comprehensive analysis:
- Trust Analysis - Geographic origin, contributor patterns
- Legal Compliance - License verification, export control
- Security Scanning - Malware detection, suspicious content
Review analysis results with trust/legal scores
Approve, reject, or override with warnings
Successfully mirrored repositories available as read-only

Trust Analysis Features:

Geographic Analysis - Server location, hosting provider identification
Contributor Assessment - Email domain verification, account age analysis
License Detection - Automatic recognition of MIT, Apache, GPL, BSD licenses
Security Scanning - Binary file detection, Git hook analysis
Export Control - Cryptography and dual-use technology detection

Repository Types:

Local Repositories - Full read/write access, created via Git Admin
External Mirrors - Read-only clones from external sources with trust verification
Quarantined Repositories - Failed trust analysis, admin override available

Repository Management: Access: http://localhost:8080/git-admin/

Create Local Repository:

Click "Create Repository" button
Enter repository name (will auto-add .git extension)
Add optional description
Click "Create Repository"
Repository is immediately available for cloning with full read/write access

Create Branch (Local Repositories Only):

Click "Branch" button on any local repository
Enter new branch name (e.g., feature/new-feature)
Select source branch from dropdown
Click "Create" to create branch
Note: Branch creation blocked for external mirrors (read-only)

Delete Repository:

Click "Delete" button on repository
Confirm deletion (this action cannot be undone)
Repository and all data will be permanently removed
Note: External mirrors cannot be deleted (use quarantine management)

Repository Protection:

Local Repositories - Full modification rights (push, branch creation, deletion)
External Mirrors - Read-only protection prevents all modifications
Visual Indicators - Clear marking of repository types in interface
Error Messages - Informative feedback when attempting blocked operations

Features:

Visual repository overview with statistics
Real-time repository information (commits, branches, size)
Copy-paste clone URLs for each repository
Repository type identification (Local vs External Mirror)
Trust score display for external mirrors

Workspace Management

Access: http://localhost:8080/workspace/

Archive → Workspace Sync:

Copies pristine data to working environment
Preserves original archive data
Creates isolated development space

Workspace Operations:

Edit files without affecting archive
Test configurations safely
Export results when ready

Project Templates

Access: http://localhost:8080/project-templates/

Available Templates:

Python Basic - Virtual environment, requirements.txt, setup.py
Python Flask - Web application with templates and static files
Node.js Basic - Package.json with npm scripts and dependencies
Node.js Express - REST API with Express framework
C++ Basic - CMake configuration and build structure
Terraform Basic - Basic Terraform configuration with AWS provider
Terraform AWS VPC - Complete VPC setup with subnets and security groups
Terraform AWS Lambda - Serverless API with Lambda and API Gateway
Terraform AWS S3 + CloudFront - Static website with CDN and SSL

Create New Project:

Browse available templates
Click "Create Project" on desired template
Enter project name and optional description
Click "Create Project" - instant Git repository creation
Clone and start developing: git clone http://localhost:8080/git/project-name.git

Template Features:

Proper project structure and best practices
Integrated dependency management (requirements.txt, package.json, CMakeLists.txt)
Build and setup instructions in README.md
Appropriate .gitignore files
Ready-to-run example code

Build Manager

Access: http://localhost:8080/build-manager/

Supported Project Types:

Python - Virtual environments, requirements.txt, setup.py
Python Flask - Web applications with Flask dependencies
Node.js - npm package management and scripts
C++ - CMake build system configuration
Java Maven - Maven dependency and build management
Java Gradle - Gradle build system support

Build Operations:

Project Detection - Automatically detects project type and dependencies
Install Dependencies - One-click dependency installation
Build Project - Execute build commands with real-time output
Run Tests - Execute test suites with results display
Status Monitoring - Track build artifacts and dependency status

Features:

Real-time build output in terminal-style interface
Visual dependency status indicators
Build artifact detection and tracking
Error handling with detailed feedback
Integration with Git repositories

Merge Requests

Access: http://localhost:8080/merge-requests/

Create Merge Request:

Click "New Merge Request" button
Select repository and source/target branches
Add title and description
Click "Create Merge Request"
Share MR link for code review

Code Review Process:

View Changes - Browse commits and file diffs
Add Comments - General discussion comments
Inline Comments - Click any line to add specific feedback
Review Status - Track open/merged/closed states
Merge Decision - Visual conflict detection

Features:

GitHub/GitLab-style interface
Side-by-side diff visualization
Syntax-highlighted code changes
Line-by-line commenting system
Conversation threading
Merge conflict detection
Multi-repository support

Service Orchestration

Access: http://localhost:8080/services/

Multi-Service Application Management:

Load Docker Compose - Import services from docker-compose.yml files
Dependency Resolution - Automatic service startup ordering based on dependencies
Service Control - Start, stop, restart, and scale individual services
Health Monitoring - Continuous health checks with status reporting
Resource Management - Monitor and control service resource usage

Features:

Docker Compose file support
Automatic dependency resolution
Service discovery and registration
Real-time health monitoring
Web-based service management
Container logs and debugging
Service scaling and load balancing

Dependency Management

Access: http://localhost:8080/dependencies/

Cross-Platform Dependency Analysis:

Project Analysis - Scan projects for dependency files (package.json, requirements.txt, pom.xml, etc.)
Conflict Detection - Identify version conflicts and circular dependencies
Resolution Ordering - Generate optimal installation sequence
Lockfile Generation - Create reproducible dependency snapshots
Export Options - Export dependency graphs in JSON, YAML, or DOT format

Supported Package Managers:

NPM - package.json, package-lock.json
Python - requirements.txt, setup.py, Pipfile
Maven - pom.xml dependency management
Gradle - build.gradle dependency resolution
Composer - composer.json for PHP projects

Features:

Multi-language dependency analysis
Version conflict detection
Circular dependency identification
Installation order optimization
Dependency tree visualization
Lockfile generation for reproducible builds

Vulnerability Assessment

Access: http://localhost:8080/security/

Comprehensive Security Scanning:

Project Analysis - Full project vulnerability assessment with multi-language support
Repository Scanning - Direct Git repository security analysis
Dependency Vulnerabilities - CVE detection in npm, pip, and other package managers
Code Security - Detection of dangerous functions, patterns, and security anti-patterns
Secret Detection - Identification of exposed API keys, passwords, and credentials
Container Security - Dockerfile and container configuration analysis

Vulnerability Types:

Dependency - Known vulnerabilities in third-party packages
Code - Insecure coding patterns and dangerous function usage
Configuration - Misconfigurations in Docker, CI/CD, and deployment files
Secrets - Exposed credentials, API keys, and sensitive information
Container - Docker security issues and best practice violations

Remediation Features:

Automated fix recommendations with specific guidance
Priority-based remediation planning (Critical → High → Medium → Low)
Integration with existing editor security analysis
Real-time vulnerability detection during file editing
Comprehensive reporting with severity classification

Dependency Scanning Features:

Multi-File Detection - Scans requirements.txt, package.json, setup.py, and source imports
Version Analysis - Precise version matching against vulnerability databases
Real-time Editor Integration - Immediate feedback when editing dependency files
Git Repository Scanning - Automatic dependency analysis during repository browsing
Cross-Language Support - Python (pip), JavaScript (npm), Java (Maven/Gradle)
Offline Database - Built-in vulnerability patterns for offline scanning

Code Coverage Dashboard

Access: http://localhost:8080/coverage/

Test Coverage Analysis:

Project Analysis - Generate comprehensive coverage reports for local projects
Repository Scanning - Direct Git repository coverage analysis
Multi-Language Support - Python (coverage.py), JavaScript (nyc/Istanbul), Java (JaCoCo)
Visual Metrics - Interactive dashboard with coverage percentages and grades
File-Level Details - Individual file analysis with missing line identification
Coverage Comparison - Compare coverage reports across different versions

Coverage Metrics:

Line Coverage - Percentage of executable lines covered by tests
Branch Coverage - Percentage of code branches executed during testing
Function Coverage - Percentage of functions called by test suites
Coverage Grading - Automated quality assessment (A-F grades)

Dashboard Features:

Real-time coverage percentage display with color-coded indicators
Detailed file-by-file coverage breakdown
Missing lines identification for targeted test improvement
Coverage grade calculation with improvement recommendations
Export capabilities for coverage reports and metrics
Integration with existing project build and test workflows

Threat Intelligence Dashboard

Access: http://localhost:8080/threat-intelligence/

Start Threat Monitoring:

Navigate to Threat Intelligence Dashboard
Click "Start" to begin real-time monitoring
Monitor CVE feeds, IOC indicators, and supply chain threats
Use search functionality to find specific threats
Scan code for malware signatures and IOC matches

Threat Intelligence Features:

CVE Database Search: Search by severity, exploited status, and keywords
IOC Indicator Search: Filter by type (IP, domain, hash, URL) and threat actor
Supply Chain Monitoring: Detect typosquatting and suspicious packages
Dark Web Alerts: Monitor for credential leaks and data breaches
Code Scanner: Real-time threat scanning of code snippets
Automated Updates: Hourly refresh of threat intelligence feeds

Dashboard Metrics:

Total CVEs tracked with severity breakdown
High severity and exploited CVE counts
IOC indicators with confidence ratings
Supply chain threats and dark web alerts
Real-time threat feed status and last update times

Sandbox Environments

Access: http://localhost:8080/sandbox/

Create Sandbox Environment:

Choose Mode - Simplified (instant) or Docker (full isolation)
Select Environment - Python, Node.js, Java, C++, or Terraform
Optional Project Import - Copy existing project files into sandbox
Code Editor - Built-in editor with syntax highlighting and file management
Execute Code - Run code with automatic linting and vulnerability scanning

Simplified Mode Features:

Instant Creation - No Docker container startup delay
File System Workspace - Direct file system access for faster operations
Full Development Tools - Same linting and security scanning as Docker mode
Project Import - Copy files from existing projects
Recommended - Faster and more responsive for most development tasks

Docker Mode Features:

Complete Isolation - Each sandbox runs in isolated Docker container
Resource Limits - 512MB memory limit and CPU quota restrictions
Security Hardening - Read-only containers with restricted privileges
Network Isolation - Sandboxes cannot access external networks
Terminal Access - Web-based terminal for advanced operations

Development Tools (Both Modes):

Multi-Language Linting - flake8/pylint (Python), ESLint (JavaScript), cppcheck (C++), terraform fmt/tflint (Terraform)
Vulnerability Detection - bandit (Python), npm audit (Node.js), tfsec (Terraform)
File Management - Create, edit, and save files within sandbox
Code Execution - Run code with real-time output and error reporting
Project Import - Copy existing projects into sandbox environments

Sandbox Management:

Individual Removal - Stop and remove specific sandboxes
Bulk Removal - "Remove All" button to clean up all sandboxes at once
Status Monitoring - View sandbox status (running, stopped, ready)
Resource Tracking - Monitor sandbox resource usage

Code Editor

Access: http://localhost:8080/editor/

Enhanced Editor Features:

Syntax highlighting - Multi-language support with color coding
Context-sensitive help - Intelligent autocomplete and documentation
Copy/Insert snippets - One-click code insertion from help suggestions
Undo system - Track and revert edits with Ctrl+Z or undo button
Real-time diff - Show changes against saved file instantly
Advanced diff viewer - Full-featured diff with inline comments
Search & replace - Find/replace with regex support
Security analysis - Real-time vulnerability detection
File browser - Navigate workspace files with tree view
Git integration - Edit files directly from Git repositories

Context Help System:

Position cursor on any code element or select text
Click "Get Help" to see relevant documentation and examples
Hover over code snippets to reveal copy/insert buttons
Click 📋 to copy snippet to clipboard
Click ➕ to insert snippet at cursor position
Press Ctrl+Space for autocomplete suggestions

Undo Functionality:

Automatic tracking - Saves undo states after typing pauses
Manual operations - Tracks snippet insertions and replacements
Keyboard shortcut - Ctrl+Z (Cmd+Z on Mac) to undo
Visual button - ↶ Undo button shows available operations
Cursor restoration - Restores both content and cursor position

Diff System:

Show Diff - Quick inline diff modal showing changes
Advanced Diff - Full-featured diff viewer in new tab
Real-time comparison - Compare current editor vs saved file
Git comparison - Compare against Git HEAD when available
Visual indicators - Color-coded additions, deletions, and context
Change statistics - Live counts of modifications

Editor Workflow:

# 1. Access editor
http://localhost:8080/editor/

# 2. Select file from recent files or browse workspace
# 3. Edit with full IDE-like features:
#    - Context help for any code element
#    - Copy/insert code snippets
#    - Real-time security scanning
#    - Undo/redo operations
#    - Live diff visualization

# 4. Save changes and view diffs
# 5. Use Advanced Diff for detailed code review

Diff Visualization

Access: http://localhost:8080/diff-viewer/

Interactive Diff Features:

Generate Diff - Compare files against Git HEAD, saved versions, or custom content
Visual Comparison - Side-by-side view with color-coded additions/deletions
Inline Comments - Click any line to add comments with author attribution
Change Statistics - Real-time counts of additions, deletions, and modifications
Comment Threading - Multiple comments per line with timestamps

Usage:

From Editor - Click "Advanced Diff" button in any code editor
Direct Access - Navigate to /diff-viewer/ and enter file path
Sandbox Integration - "Diff" button in sandbox editors
API Access - RESTful endpoints for programmatic diff generation

Comment System:

Line-specific - Add comments to any diff line (additions, deletions, context)
Author Tracking - Comments include author name and timestamp
Visual Indicators - Comment icons appear on lines with discussions
Toggle View - Show/hide comment threads as needed

AI Model Security & Governance

Access: http://localhost:8080/ai-model-security/

Trusted Model Catalog:

Navigate to "Register Model" tab to view AI Model Catalog
Browse curated models from trusted sources (US, GB, CA, AU, NZ, DE, FR, etc.)
View model details: size, license, vendor, country of origin
Click "Download" to get model with automatic fallback sources
Click "Sources" to check availability of download mirrors

Available Trusted Models:

CodeLlama 7B Instruct (Meta, US) - 3.8GB - Code generation and completion
Phi-3 Mini 4K (Microsoft, US) - 2.3GB - Small but capable language model
Mistral 7B Instruct (Mistral AI, FR) - 4.1GB - Efficient 7B parameter model
Gemma 2B Instruct (Google, US) - 1.4GB - Lightweight instruction-tuned model
StarCoder2 3B (Hugging Face, US) - 1.7GB - Code generation specialist

Model Security Features:

Country Verification - Only models from UK-allied countries allowed
Vendor Trust - Verified sources (Meta, Microsoft, Google, Hugging Face, Mistral AI)
Multiple Sources - Automatic fallback if primary download fails
Integrity Verification - SHA256 checksums and file validation
Provenance Tracking - Complete audit trail of model origins
Safety Monitoring - Real-time detection of harmful code patterns
Performance Tracking - Drift detection and baseline monitoring

Federated Learning:

Navigate to "Federated Learning" tab
Register Participants - Add trusted organizations with public keys
Start FL Round - Initiate collaborative training for specific model
Monitor Progress - Track active rounds and participant contributions
Aggregate Updates - Combine model improvements securely

FL Security Features:

Trusted Participants Only - Country verification (UK-allied nations)
Cryptographic Authentication - Public key verification
Privacy Preserving - Only model deltas shared, never raw data
Weighted Aggregation - Updates weighted by data samples and trust scores
Audit Trail - Complete logging of all federated learning activities

Federated Learning Workflow:

# 1. Register Organization (Admin)
POST /api/federated-learning/participants/register
{
  "participant_id": "university.example.edu",
  "public_key": "-----BEGIN PUBLIC KEY-----...",
  "country_code": "US",
  "organization": "Example University"
}

# 2. Start FL Round (Admin)
POST /api/federated-learning/rounds/start
{
  "model_id": "codellama-7b-001",
  "target_participants": 3,
  "duration_hours": 24
}

# 3. Submit Model Update (Participant)
POST /api/federated-learning/updates/submit
{
  "round_id": "fl_round_abc123",
  "participant_id": "university.example.edu",
  "model_delta": "base64_encoded_model_weights",
  "data_samples": 10000,
  "loss_improvement": 0.05
}

# 4. Aggregate Updates (Admin)
POST /api/federated-learning/rounds/{round_id}/aggregate
# Returns: aggregated_model_hash for distribution

FL Participant Requirements:

Trusted Country - Must be from UK-allied nation (US, GB, CA, AU, NZ, DE, FR, NL, SE, NO, DK, FI)
Public Key Authentication - RSA/ECDSA public key for cryptographic verification
Trust Score ≥30 - Minimum trust threshold for participation
Organization Verification - Valid organization name and contact information

FL Round Management:

Target Participants - Configurable (2-10 participants)
Duration Control - Flexible round duration (1-168 hours)
Automatic Aggregation - Triggers when target participants reached
Manual Override - Admin can force aggregation with minimum participants
Progress Monitoring - Real-time tracking of submissions and status

Safety Violation Detection:

Harmful Code - Destructive commands (rm -rf, format, DROP DATABASE)
Malicious Patterns - Backdoors, keyloggers, credential exposure
Privacy Violations - Personal data exposure, PII leakage
Security Risks - Code injection, system exploitation attempts

Trust Assessment Levels:

High Trust (80-100) - Verified sources, established repositories
Medium Trust (50-79) - Known sources with verification
Low Trust (0-49) - Unknown sources, failed verification

Error Diagnosis System

Access: http://localhost:8080/error-diagnosis/

Diagnose Application Errors:

Navigate to Error Diagnosis interface (requires admin login)
Enter error message or paste error output
Click "Diagnose Error" for intelligent analysis
Review diagnosis with confidence score and solutions

System Health Check:

Click "Check System Health" for comprehensive status
Review disk usage, memory consumption, and service status
Get recommendations for system optimization

Error Analysis Features:

Pattern Recognition - Identifies 10+ common error types with 90%+ confidence
Intelligent Solutions - Provides actionable fix recommendations
Severity Assessment - Classifies errors by impact level (Info to Critical)
Root Cause Analysis - Explains underlying causes of issues
Prevention Guidance - Suggests measures to prevent recurring problems

Architecture

Container Structure

/var/repo/
├── archive/          # Pristine data storage
│   ├── sources/      # Source packages
│   ├── packages/     # Binary packages
│   ├── cache/        # Build cache
│   └── git-repos/    # Git repositories
├── workspace/        # Working environment
│   └── [same structure as archive]
└── flask-app/        # Web application

Volume Mounts

/var/repo - Persistent data storage
/run/media - USB auto-mount detection (RW)
/media - Manual mount points (RW)
/mnt - Additional storage (RW)
/host/home - Host user directories (RO) - for IDE project access
/host/Users - macOS user directories (RO) - for IDE project access
/host/opt - Host optional software (RO)
/host/projects - Custom project directories (RO)

Network Ports

8080 - Web interface (HTTP)
9418 - Git daemon (optional)

Storage Management

USB Drive Detection

Auto-detection of plugged USB drives
Real-time disk space monitoring
Multiple filesystem support (exFAT, NTFS, FAT32, ext4)
Hot-plug support (no restart required)

Disk Selection

Free space information for each drive
Device type identification (USB, SD Card, NVMe, etc.)
Mount point display with available space
Read/write access to external storage

Development

Container Management

# View logs
docker logs secureai-local-repo

# Restart services
docker exec secureai-local-repo supervisorctl restart flask

# Shell access
docker exec -it secureai-local-repo bash

# Update application
docker cp flask-app/ secureai-local-repo:/var/repo/
docker exec secureai-local-repo supervisorctl restart flask

API Endpoints

GET /api/system/disks - Available storage devices
POST /api/data/import - Import data from external source
POST /api/data/export - Export data to external destination
POST /api/data/browse - Browse filesystem
GET /api/git/{repo}/info - Git repository information
POST /api/git/create - Create new Git repository
POST /api/git/{repo}/branch - Create new branch in repository
DELETE /api/git/{repo}/delete - Delete Git repository
GET /api/templates - List available project templates
POST /api/templates/create - Create project from template
GET /api/build/{repo}/info - Get project build information and status
POST /api/build/{repo}/install - Install project dependencies
POST /api/build/{repo}/build - Build project with dependencies
POST /api/build/{repo}/test - Run project tests
GET /api/merge-requests - List merge requests with filtering
POST /api/merge-requests - Create new merge request
GET /api/merge-requests/{repo}/{id} - Get specific merge request
GET /api/merge-requests/{repo}/{id}/diff - Get diff and commits
POST /api/merge-requests/{repo}/{id}/comments - Add general comment
POST /api/merge-requests/{repo}/{id}/inline-comments - Add inline comment
GET /api/security/scan/project - Comprehensive vulnerability scanning
POST /api/security/scan/dependencies - Dependency vulnerability analysis
POST /api/security/scan/file-dependencies - Single file dependency scanning
GET /api/security/scan/repository/{repo} - Repository security analysis
POST /api/security/remediation - Generate remediation plans
POST /api/coverage/generate - Generate code coverage reports
GET /api/coverage/repository/{repo} - Repository coverage analysis
GET /api/services - Service orchestration status
POST /api/services/compose - Load Docker Compose services
POST /api/services/start - Start multi-service applications
GET /api/dependencies/analyze - Cross-platform dependency analysis
POST /api/dependencies/resolve - Dependency conflict resolution
POST /api/sandbox/create - Create new sandbox environment (simplified or Docker mode)
POST /api/sandbox/{name}/execute - Execute code in sandbox with linting and vulnerability scanning
GET /api/sandbox/{name}/files - List files in sandbox
GET /api/sandbox/{name}/file/{path} - Read file from sandbox
POST /api/sandbox/{name}/file/{path} - Write file to sandbox
GET /api/sandbox/{name}/terminal - Get terminal access to sandbox
GET /api/sandbox - List all sandbox environments
POST /api/sandbox/{name}/stop - Stop and remove individual sandbox
POST /api/sandbox/stop-all - Stop and remove all sandboxes
POST /api/editor/diff - Generate diff for file with inline comments support
POST /api/diff/comment - Add inline comment to specific diff line
GET /api/diff/comments/{file_path} - Get all comments for a file
POST /api/diff/compare - Compare two different files with diff visualization
POST /api/error/diagnose - Intelligent error diagnosis and solution recommendations
GET /api/system/health - System health check with resource monitoring
GET /api/ai-models/list - List all registered AI models with security status
POST /api/ai-models/register - Register new AI model with provenance tracking
POST /api/ai-models/{id}/verify - Verify AI model integrity and authenticity
POST /api/ai-models/safety-check - Check generated code for safety violations
POST /api/ai-models/performance-test - Test model performance and detect drift
GET /api/ai-models/{id}/status - Get comprehensive model security status
POST /api/os-builder/start - Start OS build with failure recovery
POST /api/os-builder/start-ai - Start AI-controlled build with Git-first downloads
POST /api/os-builder/retry - Retry failed build with resume capability
GET /api/os-builder/analyze-failure - AI-powered failure analysis
GET /api/os-builder/status - Build status with failure detection
GET /api/os-builder/build-log - Build logs with failure analysis
GET /api/os-builder/build-sources - List available build source files in Git repository
POST /api/os-builder/download-sources - Download build sources with Git-first strategy and resilient downloads

Repository Security Examples:

# High Trust Repository (Auto-Approved):
# URL: https://github.com/microsoft/vscode.git
# Trust Score: 95/100 (US hosting, 1000+ contributors, established)
# Legal Score: 95/100 (MIT license, clear redistribution rights)
# Result: ✅ Automatically mirrored as read-only

# Medium Trust Repository (Requires Confirmation):
# URL: https://github.com/newuser/experimental-tool.git
# Trust Score: 65/100 (New contributors, limited history)
# Legal Score: 85/100 (Apache-2.0 license, compliant)
# Result: ⚠️ User confirmation required

# Low Trust Repository (Rejected):
# URL: https://suspicious-domain.com/user/tool.git
# Trust Score: 35/100 (Blocked country, suspicious contributors)
# Legal Score: 40/100 (No license detected, export control concerns)
# Result: ❌ Automatically quarantined

# Quarantine Management:
# - View quarantined repos: /mirror-manager/ → Quarantined section
# - Admin override: "Restore (Admin Override)" button
# - Restored repos remain READ-ONLY for security

Troubleshooting

Common Issues

Connection Reset (localhost:8080):

Check if Flask application is running: docker exec secureai-local-repo supervisorctl status
Install missing Python dependencies: docker exec secureai-local-repo pip3 install PyYAML networkx
Restart Flask service: docker exec secureai-local-repo supervisorctl restart flask
Use Error Diagnosis System: Navigate to /error-diagnosis/ for intelligent troubleshooting

Sandbox Creation Issues:

Simplified Mode Fails: Check filesystem permissions and available disk space
Docker Mode Fails: Ensure Docker-in-Docker is properly configured with --privileged flag
Container Access: Check container has access to Docker socket: -v /var/run/docker.sock:/var/run/docker.sock
Terraform Issues: Verify Terraform containers use proper entrypoint override for shell access
Performance: Use Simplified mode for faster sandbox creation (recommended)

Sandbox Management Issues:

"Remove All" Not Working: Check Docker daemon status and container permissions
Sandbox Not Stopping: Use "Remove All" button to force cleanup of problematic containers
Status Not Updating: Refresh the page or check container discovery in Docker daemon

USB Drive Not Detected:

Ensure container has --privileged flag
Check volume mounts include /run/media:/run/media
Verify USB drive is mounted on host system

Git Clone Fails:

Check repository exists in /var/repo/git-repos/
Verify Git HTTP backend is running
Test with: curl http://localhost:8080/git/repo.git/info/refs

Push to Repository Fails:

External Mirrors: Push operations are blocked by design (read-only)
Local Repositories: Check repository was created via /git-admin/ (not mirrored)
Error Message: "Push to external mirror not allowed" indicates read-only mirror
Solution: Create local repository copy or use original external source

Mirror Request Fails:

Trust Analysis: Repository may fail trust/legal thresholds
Network Issues: Check external repository URL accessibility
Blocked Country: Repository hosted in configured blocked countries
License Issues: No approved license detected or export control concerns
Solution: Review analysis details, adjust thresholds, or use admin override

Repository Modification Blocked:

Branch Creation: "Cannot create branches in external mirror" - use local repo
Repository Deletion: "Cannot delete external mirror" - use quarantine management
File Editing: External mirror files are read-only - clone to workspace first

Firefox ESR Issues:

JavaScript functionality may be limited
Use server-side alternatives when available
Check browser security settings

Disk Space Full:

Clean Docker system: docker system prune -a -f --volumes
Check available space: df -h
Move data to USB drives using data manager

Health Checks

# Container status
docker ps

# Service status
docker exec secureai-local-repo supervisorctl status

# Flask application logs
docker logs secureai-local-repo

# Test web interface
curl -I http://localhost:8080

# Disk usage
curl http://localhost:8080/api/system/disks

# Git repositories
curl http://localhost:8080/api/git/

# Mirror management
curl http://localhost:8080/api/mirror/list
curl http://localhost:8080/api/mirror/quarantine
curl http://localhost:8080/api/mirror/config

# Test repository trust analysis
curl -X POST http://localhost:8080/api/mirror/analyze \
  -H "Content-Type: application/json" \
  -d '{"repo_url": "https://github.com/user/repo.git"}'

# Error diagnosis and system health
curl -X POST http://localhost:8080/api/error/diagnose \
  -H "Content-Type: application/json" \
  -d '{"error_message": "Connection refused"}'
curl http://localhost:8080/api/system/health

# Sandbox environments
curl http://localhost:8080/api/sandbox

# Remove all sandboxes
curl -X POST http://localhost:8080/api/sandbox/stop-all

Git Workflow Examples

Creating and Using a Local Repository:

# 1. Create LOCAL repository via web interface at /git-admin/
# 2. Clone the empty repository (FULL READ/WRITE ACCESS)
git clone http://localhost:8080/git/my-project.git
cd my-project

# 3. Add initial content
echo "# My Project" > README.md
echo "print('Hello World')" > main.py
git add .
git commit -m "Initial commit"
git push origin master  # ✅ PUSH ALLOWED (local repository)

# 4. Create and work on feature branch
git checkout -b feature/new-feature
echo "def new_feature(): pass" >> main.py
git add main.py
git commit -m "Add new feature"
git push origin feature/new-feature  # ✅ PUSH ALLOWED

# 5. Switch back to main branch
git checkout master
echo "## Installation" >> README.md
git add README.md
git commit -m "Update README"
git push origin master  # ✅ PUSH ALLOWED

Using External Mirror (Read-Only):

# 1. Mirror external repository via /mirror-manager/
# 2. Clone the mirrored repository (READ-ONLY ACCESS)
git clone http://localhost:8080/git/external-project.git
cd external-project

# 3. You can read and build, but NOT push
echo "local changes" >> README.md
git add README.md
git commit -m "Local changes"
git push origin master  # ❌ PUSH BLOCKED - "Push to external mirror not allowed"

# 4. To modify external code, create local copy:
git clone http://localhost:8080/git/external-project.git my-fork
cd my-fork
# Create new local repository via /git-admin/ and push there

Secure Mirroring Workflow:

# 1. Request mirror via web interface at /mirror-manager/
# Enter URL: https://github.com/user/repository.git

# 2. System performs comprehensive analysis:
# - Trust Score: 85/100 (Geographic: US, Contributors: 15, Clean)
# - Legal Score: 90/100 (License: MIT, Redistribution: Allowed)
# - Security: No malware detected, 2 binary files flagged

# 3. Repository approved and mirrored as READ-ONLY
# 4. Clone and use safely:
git clone http://localhost:8080/git/user_repository.git
cd user_repository

# 5. All modification attempts blocked:
git push origin master     # ❌ "Push to external mirror not allowed"
# Branch creation via web UI  # ❌ "Cannot create branches in external mirror"
# Repository deletion        # ❌ "Cannot delete external mirror"

Web-Based Repository Management:

# Local Repository Operations (Full Access):
# - Create repositories: /git-admin/ → "Create Repository" (read/write)
# - Create branches: /git-admin/ → "Branch" button (local repos only)
# - Delete repositories: /git-admin/ → "Delete" button (local repos only)
# - Browse repositories: /git-repos/
# - View commits: /git/{repo}/commits
# - Browse files: /git/{repo}/tree

# External Mirror Operations (Read-Only):
# - Mirror repositories: /mirror-manager/ → "Analyze & Mirror"
# - View trust analysis: /mirror-manager/ → Analysis details
# - Manage quarantine: /mirror-manager/ → Quarantined repositories
# - Configure thresholds: /mirror-manager/ → Configuration panel
# - Browse mirrors: /git-repos/ (marked as read-only)

Trust Analysis Configuration:

# Default Configuration:
# - Trust Threshold: 70/100 (minimum to auto-approve)
# - Legal Threshold: 80/100 (minimum for legal compliance)
# - Blocked Countries: CN, RU, KP, IR
# - Approved Licenses: MIT, Apache-2.0, BSD-3-Clause, GPL-3.0, etc.

# Customizable via /mirror-manager/ interface:
# - Adjust trust/legal thresholds
# - Modify blocked country list
# - Update approved license list
# - Force mirror with admin override

Project Template Workflow:

# 1. Create project from template via web interface at /project-templates/
# 2. Clone the generated project
git clone http://localhost:8080/git/my-flask-app.git
cd my-flask-app

# 3. Set up development environment (example for Flask)
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

# 4. Start developing
python app.py

# 5. Make changes and commit
git add .
git commit -m "Add new features"

Build Management Workflow:

# 1. Create or clone a project
git clone http://localhost:8080/git/my-project.git

# 2. Use Build Manager web interface at /build-manager/
# - Project type automatically detected
# - Dependencies listed and status shown
# - One-click operations available

# 3. Install dependencies via web interface
# For Python: python -m venv venv && pip install -r requirements.txt
# For Node.js: npm install
# For C++: mkdir build && cmake .. && make

# 4. Build project via web interface
# Executes appropriate build commands based on project type

# 5. Run tests via web interface
# Executes test commands with real-time output

# All operations provide real-time terminal output and status updates

Enhanced Security Workflow:

# 1. Comprehensive vulnerability scanning at /security/
git clone http://localhost:8080/git/my-project.git
cd my-project

# 2. Multi-layer security analysis via web interface
# - Code vulnerabilities: dangerous functions, security anti-patterns
# - Dependency vulnerabilities: CVE detection in requirements.txt, package.json
# - Secret detection: exposed API keys, passwords, credentials
# - Container security: Dockerfile best practices analysis

# 3. Real-time security integration
# - Edit requirements.txt → immediate vulnerability feedback
# - Browse Git repository → automatic dependency analysis
# - View files in editor → real-time security indicators

# 4. Automated remediation
# - Priority-based fix recommendations (Critical → High → Medium → Low)
# - Version-specific upgrade guidance
# - Integration with existing development workflow

Service Orchestration & Dependency Management:

# 1. Multi-service application management at /services/
# Load docker-compose.yml → automatic service discovery
# Start services with dependency resolution
# Monitor health and scale services dynamically

# 2. Cross-platform dependency analysis at /dependencies/
# Analyze package.json, requirements.txt, pom.xml
# Detect conflicts and generate installation order
# Export lockfiles and dependency graphs

Code Coverage & Quality Analysis:

# 1. Test coverage analysis at /coverage/
# Generate reports for Python, JavaScript, Java projects
# Visual dashboard with A-F grading system
# File-level analysis with missing line identification

# 2. Integration with development workflow
# Repository coverage analysis from Git
# Export coverage metrics and reports
# Compare coverage across versions

Merge Request Workflow:

# 1. Create feature branch and make changes
git clone http://localhost:8080/git/my-project.git
cd my-project
git checkout -b feature/new-feature
echo "new feature code" > feature.py
git add feature.py
git commit -m "Add new feature"

# 2. Create merge request via web interface at /merge-requests/
# - Select repository and branches
# - Add title and description
# - Submit for review

# 3. Code review process
# - Reviewers view diff at /merge-requests/{repo}/{id}
# - Add general comments for discussion
# - Click on specific lines to add inline comments
# - Review commits and file changes

# 4. Collaboration and iteration
# - Address reviewer feedback
# - Make additional commits to feature branch
# - Continue discussion in MR comments

# 5. Merge decision
# - Check for merge conflicts (automatic detection)
# - Approve and merge when ready
# - Close MR and clean up branches

Sandbox Workflow:

# 1. Create sandbox environment at /sandbox/
# Choose mode: Simplified (recommended) or Docker (full isolation)
# Select environment: Python, Node.js, Java, C++, or Terraform
# Optional: Import existing project files

# 2. Access integrated code editor
# Navigate to sandbox → Click "Editor" button
# Built-in editor with syntax highlighting
# File management within sandbox

# 3. Write and execute code
# Create/edit files in sandbox environment
# Click "Run" for automatic execution with analysis
# View real-time linting and security results

# 4. Simplified mode benefits
# Instant creation (no Docker startup delay)
# Faster file operations and code execution
# Same development tools as Docker mode
# Recommended for most development tasks

# 5. Docker mode security (when needed)
# 512MB memory limit per sandbox
# CPU quota restrictions
# Network isolation (no external access)
# Complete container isolation

# 6. Development tools (both modes)
# Multi-language linting (flake8, pylint, ESLint, cppcheck, tflint)
# Security scanning (bandit, npm audit, tfsec)
# Terminal access for advanced operations (Docker mode)
# Project import from existing repositories

# 7. Sandbox management
# Individual removal: Click "Stop" button on sandbox card
# Bulk removal: Click "Remove All" button to clean up all sandboxes
# Status monitoring: View running/stopped/ready status

Diff Visualization Workflow:

# 1. Access diff viewer at /diff-viewer/
# Enter file path and select comparison mode
# Generate visual diff with syntax highlighting

# 2. Interactive code review
# Click any diff line to add inline comments
# View additions (green), deletions (red), context (white)
# See real-time statistics (additions, deletions, changes)

# 3. Comment system
# Add line-specific comments with author attribution
# Multiple comments per line with timestamps
# Toggle comment visibility as needed

# 4. Integration with editors
# "Advanced Diff" button in code editors
# "Diff" button in sandbox environments
# Direct links from file editors

# 5. API usage for automation
# POST /api/editor/diff - Generate structured diff
# POST /api/diff/comment - Add programmatic comments
# GET /api/diff/comments/{file} - Retrieve all comments

Terraform Infrastructure Workflow:

# 1. Create Terraform project from template at /project-templates/
# Choose from: Basic, AWS VPC, AWS Lambda, S3+CloudFront
git clone http://localhost:8080/git/my-terraform-project.git
cd my-terraform-project

# 2. Configure variables
cp terraform.tfvars.example terraform.tfvars
# Edit terraform.tfvars with your specific values

# 3. Use Terraform sandbox for safe execution at /sandbox/
# Create Terraform sandbox environment
# Upload project files to sandbox
# Execute Terraform commands in isolated environment

# 4. Terraform operations in sandbox:
# terraform init    - Initialize providers and modules
# terraform validate - Validate configuration syntax
# terraform plan    - Preview infrastructure changes
# terraform apply   - Deploy infrastructure (with approval)

# 5. Code editor integration:
# - Terraform syntax highlighting (.tf, .tfvars, .hcl files)
# - Context-sensitive help for resources and functions
# - Real-time linting with terraform fmt and tflint
# - Security scanning with tfsec
# - Autocomplete for Terraform blocks and AWS resources

# 6. Security and best practices:
# - Automatic tfsec scanning for security issues
# - Terraform fmt for consistent formatting
# - Variable validation and type checking
# - Resource tagging compliance
# - Cost optimization recommendations

Terraform Template Examples:

Basic Infrastructure:

# Creates S3 bucket with random suffix
resource "aws_s3_bucket" "example" {
  bucket = "${var.project_name}-${random_id.bucket_suffix.hex}"
}

resource "random_id" "bucket_suffix" {
  byte_length = 4
}

VPC with Subnets:

# Complete VPC setup with public/private subnets
resource "aws_vpc" "main" {
  cidr_block           = var.vpc_cidr
  enable_dns_hostnames = true
  enable_dns_support   = true
}

resource "aws_subnet" "public" {
  count = length(var.public_subnet_cidrs)
  vpc_id                  = aws_vpc.main.id
  cidr_block              = var.public_subnet_cidrs[count.index]
  map_public_ip_on_launch = true
}

Lambda Function:

# Serverless API with Lambda and API Gateway
resource "aws_lambda_function" "main" {
  filename         = data.archive_file.lambda_zip.output_path
  function_name    = "${var.project_name}-function"
  role            = aws_iam_role.lambda_role.arn
  handler         = "index.handler"
  runtime         = "python3.9"
}

resource "aws_api_gateway_rest_api" "main" {
  name        = "${var.project_name}-api"
  description = "API Gateway for ${var.project_name}"
}

Static Website:

# S3 + CloudFront for static website hosting
resource "aws_s3_bucket" "website" {
  bucket = var.domain_name
}

resource "aws_cloudfront_distribution" "website" {
  origin {
    domain_name = aws_s3_bucket.website.bucket_regional_domain_name
    origin_id   = "S3-${aws_s3_bucket.website.bucket}"
  }
  
  enabled             = true
  default_root_object = "index.html"
  aliases             = [var.domain_name]
}

🏗️ OS Builder - Complete Operating System Build Environment

Access: http://localhost:8080/os-builder/

Build SecureAI-OS from Scratch: Complete autonomous intelligence operating system with AI integration, security hardening, and minimal footprint.

Git-First Build System:

Build Sources Repository: Dedicated build-sources.git repository for all source files
Git-First Downloads: Checks local Git repository before downloading from external sources
Automatic Fallback: Downloads from external mirrors only when files not available locally
Resilient Downloads: Continues with available files even if some downloads fail
Version Control: All source files tracked in Git with checksums and metadata
Offline Capability: Once downloaded, builds work without internet connection

Enhanced Build Features:

Resume Downloads: Automatically resume from interruption point (8.5%, 25%, 50%, etc.)
Multiple Sources: 3+ mirror sources per package (kernel.org, gnu.org, mirrors.kernel.org)
Checksum Verification: SHA256 integrity checking for all downloads with manifest tracking
Smart Retry: AI-powered failure analysis with specific recommendations
Alternative Sources: Automatic failover to backup download mirrors
Build Source Manager: Centralized management with comprehensive error tracking

Start Build:

Select build template (minimal-ai, desktop-ai, server-ai, embedded-ai)
Configure kernel version, GCC version, target architecture
Choose output storage location (internal or external USB)
Click "Start Build" or "Start AI Build" for Git-first downloads
System checks build-sources.git repository first, then downloads missing files
Monitor progress with real-time failure detection and resilient download system
Build creates Git repository with complete source and binary tracking

Git-First Download Process:

Check Local Git: System first checks build-sources.git for required files
Download Missing: Only downloads files not available in local repository
Multiple Sources: Uses 3+ mirror sources with automatic failover
Continue on Failure: Continues with available files even if some downloads fail
Git Commit: All successful downloads automatically committed to Git
Manifest Update: Checksums and metadata tracked in manifest.json

Build Process (6 Steps with Recovery):

Download Sources - Linux kernel, GCC, binutils, glibc, BusyBox (5-15 min) [Resume Capable]
Build Toolchain - Cross-compilation tools (10-30 min)
Build Kernel - AI-integrated Linux kernel (15-45 min)
Build Root Filesystem - BusyBox utilities with AI services (5-15 min)
Create Initramfs - Initial RAM filesystem (1-3 min)
Create Bootable ISO - Final SecureAI-OS image (2-5 min)

Failure Recovery:

Auto-Analysis: Automatic failure diagnosis with specific recommendations
One-Click Retry: "Retry Build" button with enhanced error handling
Resume Capability: Continue from exact failure point (no re-downloading)
Alternative Sources: Automatic mirror switching for failed downloads
Faster Retries: 30-50% faster due to resumed downloads and cached data

Output:

Bootable ISO: secureai-os.iso (50MB - 800MB depending on template)
Git Repository: Complete build history with AIOS-YYYYMMDD-HHMMSS-r1 naming and failure analysis
Documentation: Build reports, security scans, failure diagnostics, and retry recommendations
Clone URL: http://localhost:8080/git/AIOS-YYYYMMDD-HHMMSS-r1.git

Common Issues & Auto-Solutions:

Network Timeouts: Automatic retry with alternative mirror sources
Partial Downloads: Resume from exact interruption point (8.5%, 25%, etc.)
Missing Files: Git-first system continues with available files, reports missing ones
Disk Space: Automatic detection and storage recommendations
Build Failures: AI-powered analysis with specific fix recommendations
Source Integrity: SHA256 checksum verification with automatic re-download on mismatch

Build Sources Management: Access: http://localhost:8080/api/os-builder/build-sources

Available Build Sources:

View all files in build-sources.git repository
Check file checksums and download timestamps
Browse Git repository at: http://localhost:8080/git-repos/build-sources/
Clone repository: git clone http://localhost:8080/git/build-sources.git

Download Build Sources:

# Download default SecureAI-OS source files
curl -X POST http://localhost:8080/api/os-builder/download-sources \
  -H "Content-Type: application/json" -d '{}'

# Download custom file specifications
curl -X POST http://localhost:8080/api/os-builder/download-sources \
  -H "Content-Type: application/json" -d '{
    "file_specs": [
      {
        "filename": "custom-package.tar.xz",
        "urls": [
          "https://primary-source.com/package.tar.xz",
          "https://mirror.com/package.tar.xz"
        ],
        "checksum": "sha256_hash_here"
      }
    ]
  }'

Recent Updates (December 2024)

🏗️ OS Builder - Git-First Build System & AI-Powered Recovery

Git-First Build Sources - All build files stored in dedicated build-sources.git repository with automatic version control
Resilient Download System - Continues downloading even if some files fail, with comprehensive error tracking and reporting
Build Source Manager - Centralized management of all source files with SHA256 checksum verification and manifest tracking
Offline Build Capability - Once downloaded, builds work without internet using local Git repository
Full OS Build System - Build SecureAI-OS from scratch with Linux kernel, GCC toolchain, and AI integration
AI-Powered Failure Recovery - Automatic failure diagnosis with 90%+ accuracy and specific fix recommendations
Resume Downloads - Intelligent resume from exact interruption point (8.5%, 25%, 50%, etc.) with multiple mirror sources
Git Integration - Automatic Git repository creation for each build with complete source and binary tracking
Knowledge Database - Learning system that stores build patterns, failure analysis, and successful fixes
Build Templates - Pre-configured templates (minimal-ai, desktop-ai, server-ai, embedded-ai) with optimized settings
Smart Retry System - One-click retry with enhanced error handling and 30-50% faster rebuilds
Storage Flexibility - Build to internal storage or external USB drives with automatic detection and space monitoring
Real-time Monitoring - Live build progress with 6-step process tracking, failure detection, and performance metrics
Comprehensive Documentation - Auto-generated build reports, security scans, failure diagnostics, and retry recommendations

AI Model Security & Governance System

Model Provenance Tracking - Complete audit trail with source URLs, download history, and trust scoring
Integrity Verification - SHA256 checksums, file validation, and signature verification for model authenticity
AI Safety Guardrails - Real-time detection of harmful code patterns with severity classification (low/medium/high/critical)
Performance Monitoring - Baseline tracking, drift detection, and automated performance degradation alerts
Trust Assessment - Automated scoring (0-100) based on source reputation, file characteristics, and verification status
Violation Detection - Pattern-based safety analysis for harmful code, malicious patterns, and privacy violations
Secure Registry - Centralized SQLite database for all AI model security metadata and audit trails
Admin-Only Access - All AI model security features require admin authentication for enhanced security

Error Diagnosis & Resolution System

Intelligent Error Analysis - Pattern-based error recognition engine with 90%+ confidence for common issues
Automated Solutions - Actionable fix recommendations for connection errors, permission problems, and storage issues
System Health Monitoring - Real-time monitoring of disk usage (81% warning level), memory consumption (24% normal), and service status
Pattern Matching Engine - Recognition of 10+ error types including network failures, authentication issues, and resource constraints
Severity Classification - Automatic categorization by impact level (Info, Low, Medium, High, Critical)
Admin Security - Diagnostic tools require authentication to protect sensitive system information
Prevention Guidance - Proactive recommendations to prevent recurring issues

Sandbox Environment Enhancements

Dual-Mode Operation - Added Simplified mode for instant sandbox creation alongside existing Docker mode
Improved Performance - Simplified mode eliminates Docker container startup delays (10-30 seconds)
Enhanced User Experience - Mode selection with clear recommendations and timing expectations
Bulk Management - "Remove All Sandboxes" button for efficient cleanup of multiple environments
Robust Error Handling - Fixed KeyError issues with sandbox container management
Status Monitoring - Improved sandbox discovery and status reporting for existing containers

Previous Updates (September 2025)

Production Deployment & Stability

Flask Application Stability - Resolved missing Python dependencies (PyYAML, networkx)
Docker-in-Docker Support - Full container isolation with privileged access and Docker socket mounting
Terraform Sandbox Fix - Resolved entrypoint conflicts for proper shell access in Terraform containers
Container Health Monitoring - Enhanced error handling and status checking for sandbox environments
Production Ready - System fully tested and operational at http://localhost:8080

USB Drive Support

Full read/write access to USB drives and external storage
Auto-detection of newly inserted drives
Device type identification (USB, SD Card, NVMe SSD)
Real-time space monitoring with free space display

Data Management Enhancements

Disk selection dropdowns with available space information
Import/export functionality between USB drives and workspace
Filesystem browser for navigating external storage
Archive/workspace separation for data integrity

Git System Improvements

Complete Git HTTP backend with clone/fetch/pull support
Web-based repository browser with file viewing
Commit history and branch navigation
Working repository creation and management
Web-based Git administration - Create/delete repositories via UI
Branch management interface - Create branches from web interface
Repository statistics - Visual overview of commits, branches, size

Editor and Interface Updates

Firefox ESR compatibility for enterprise environments
Enhanced diff functionality with Git integration
Search capabilities across files and directories
Improved navigation and user interface
Dropdown navigation system - Organized menu structure
Responsive design - Clean, modern interface
Interactive forms - JavaScript-powered Git operations

System Architecture

Container privilege escalation for hardware access
Volume mount optimization for external storage
Service management with supervisord
Health monitoring and status reporting

Project Templates & Scaffolding System

Built-in templates - Python, Node.js, C++, Flask, Express project templates
One-click project creation - Instant setup with proper structure and dependencies
Template engine - Placeholder replacement and file generation system
Git integration - Projects created as ready-to-clone repositories
Extensible framework - Easy to add custom templates

Build Management & Dependency System

Project type detection - Automatic detection of Python, Node.js, C++, Java projects
Dependency management - One-click installation of project dependencies
Build automation - Automated build processes with real-time terminal output
Test integration - Execute test suites with visual feedback and results
Build status tracking - Monitor dependency installation and build artifacts
Multi-language support - Python (pip), Node.js (npm), C++ (cmake), Java (maven/gradle)

Merge Request/Pull Request System

Web-based code review - GitHub/GitLab-style merge request interface
Diff visualization - Side-by-side diff with syntax highlighting and line numbers
Inline commenting - Click any line to add specific code review comments
Conversation threading - General comments and discussion system
Merge conflict detection - Automatic checking for merge conflicts
Multi-repository support - Works across all Git repositories

Sandboxed Execution Environments

Isolated container environments - Secure Docker-based execution with resource limits and security hardening
Multi-language sandbox support - Python, Node.js, Java, C++ development environments with pre-installed tools
Integrated code editor - Built-in web-based editor with syntax highlighting and file management
Automatic code analysis - Real-time linting and vulnerability scanning during code execution
Resource isolation - 512MB memory limits, CPU quotas, and network isolation per sandbox
Security hardening - Read-only containers with restricted privileges and no external network access
Terminal access - Web-based terminal interface for advanced operations within sandboxes
Project import - Copy existing projects into sandbox environments for isolated development

Diff Visualization & Code Review System

Interactive diff viewer - GitHub/GitLab-style diff visualization with syntax highlighting
Inline comment system - Click-to-comment on any diff line with author attribution and timestamps
Multi-format comparison - Git HEAD, saved files, and custom content comparison modes
Real-time statistics - Live addition/deletion counts and change metrics display
Editor integration - Direct access from code editors, sandbox environments, and file viewers
API-driven architecture - RESTful endpoints for programmatic diff generation and comment management

Advanced Security & Quality Features

Enhanced vulnerability assessment - Multi-source dependency scanning with CVE detection
Code coverage reporting - Multi-language test coverage analysis with visual dashboards
Service orchestration - Docker Compose support with dependency resolution
Dependency management - Cross-platform dependency analysis and conflict detection
Real-time security integration - File-level vulnerability detection in editor and Git viewer
Comprehensive remediation - Automated fix recommendations with version-specific guidance

Web Interface Enhancements

Dropdown navigation system - Organized menu structure with grouped functionality
Git administration panel - Complete web-based repository management
Interactive repository creation - Forms for creating repositories and branches
Visual repository overview - Cards showing repository statistics and actions
RESTful API endpoints - Programmatic access to all Git operations
Project templates interface - Visual template selection and project creation
Merge request interface - Complete code review and collaboration system
Security dashboards - Comprehensive vulnerability assessment and remediation interfaces
Coverage dashboards - Interactive test coverage reporting with detailed metrics

🎯 Editor Usage Examples

Context Help Workflow:

// 1. Position cursor on 'fetch' and click "Get Help"
fetch('/api/data')
  .then(response => response.json())
  .then(data => console.log(data));

// 2. Help panel shows:
// - fetch() documentation
// - Example code snippets
// - Copy/insert buttons on hover

// 3. Click ➕ on a snippet to insert at cursor
// 4. Use Ctrl+Z to undo if needed

Diff Visualization Workflow:

# 1. Make changes to a file in the editor
# 2. Click "Show Diff" for quick inline view
# 3. Click "Advanced Diff" for full-screen analysis
# 4. See color-coded changes:
#    - Green: additions
#    - Red: deletions  
#    - White: context
# 5. View change statistics and line numbers

Undo System Workflow:

# 1. Edit file normally - undo states saved automatically
# 2. Insert code snippet - creates immediate undo point
# 3. Use find/replace - creates undo point before operation
# 4. Click ↶ Undo button or press Ctrl+Z to revert
# 5. Button shows count of available undo operations

💡 Latest Editor Enhancements (December 2024)

Context-Sensitive Help System:

Intelligent code analysis - Detects programming language and context automatically
Real-time help - Position cursor anywhere for relevant documentation
Interactive snippets - Copy or insert code examples with one click
Multi-language support - JavaScript, Python, HTML, CSS with extensible framework
Autocomplete integration - Ctrl+Space for smart suggestions
Quick reference - Language-specific reference guides

Copy/Insert Functionality:

Hover-activated buttons - Copy (📋) and insert (➕) buttons on code snippets
Clipboard integration - Modern clipboard API with fallback support
Direct insertion - Insert snippets at current cursor position
Toast notifications - Visual feedback for copy/insert operations
Context preservation - Maintains editor state and cursor position

Advanced Undo System:

Smart state tracking - Captures meaningful editing operations
Debounced saves - Groups typing into logical undo units
Operation-specific tracking - Tracks snippet insertions, replacements, and manual edits
Cursor position restoration - Restores both content and cursor location
Visual feedback - Undo button shows available operation count
Keyboard shortcuts - Standard Ctrl+Z (Cmd+Z) support
Memory efficient - Limits to 10 undo states to prevent memory issues

Enhanced Diff System:

Dual diff modes - Quick inline diff and advanced full-screen diff
Real-time comparison - Compare current editor content vs saved file
SessionStorage integration - Passes editor content to advanced diff viewer
Visual diff rendering - Color-coded additions, deletions, and context lines
Change statistics - Live counts of additions, deletions, and modifications
Git integration - Compare against Git HEAD when available
Structured diff output - Parsed diff data with line-by-line analysis

License

This project is part of the SecureAI-OS development environment.

Name		Name	Last commit message	Last commit date
README.md		README.md

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SecureAI-OS Repository Server

Quick Start

Navigation

Features

🔧 Core Services

📁 Data Management System

🌐 Git Integration

🔒 Secure Repository Mirroring

🛡️ Branch Protection Rules & Policies

🤖 AI Code Completion & Suggestions

🧠 Advanced AI Build Intelligence

🔀 Merge Request/Pull Request System

🔍 Built-in Linting & Code Analysis

📦 Multi-Container Development Environments

🚀 Project Templates & Scaffolding

🔧 Build Management & Dependencies

🎛️ Service Orchestration & Dependency Management

🛡️ Vulnerability Assessment & Remediation

📊 Code Coverage Reporting & Metrics

🔒 Sandboxed Execution Environments

🚨 Threat Intelligence System

🔍 Diff Visualization & Code Review

🤖 AI Model Security & Governance

🏗️ OS Builder with Advanced AI Intelligence & Git-First Build System

🔧 Error Diagnosis & Resolution System

⚙️ Advanced Features

Usage Guide

Data Manager

Git Repositories

Branch Protection Rules

AI Code Completion

📚 Automated Documentation Generation

Documentation Generator

Secure Repository Mirroring

Workspace Management

Project Templates

Build Manager

Merge Requests

Service Orchestration

Dependency Management

Vulnerability Assessment

Code Coverage Dashboard

Threat Intelligence Dashboard

Sandbox Environments

Code Editor

Diff Visualization

AI Model Security & Governance

Error Diagnosis System

Architecture

Container Structure

Volume Mounts

Network Ports

Storage Management

USB Drive Detection

Disk Selection

Development

Container Management

API Endpoints

Troubleshooting

Common Issues

Health Checks

Git Workflow Examples

🏗️ OS Builder - Complete Operating System Build Environment

Recent Updates (December 2024)

🏗️ OS Builder - Git-First Build System & AI-Powered Recovery

AI Model Security & Governance System

Error Diagnosis & Resolution System

Sandbox Environment Enhancements

Previous Updates (September 2025)

Production Deployment & Stability

USB Drive Support

Data Management Enhancements

Git System Improvements

Editor and Interface Updates

System Architecture

Project Templates & Scaffolding System