wip

.cursor/rules/code.mdc

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+---
+description: General rules for cursor
+alwaysApply: true
+---
+
+- Don't be overly complacent. I'm a massive idiot so I can be wrong -- and so can you. If things look like shit, call me out on my bullshit.

.env.example

@@ -1,11 +1,16 @@
-# Gitingest Environment Variables
+# Gitingest AI-Powered Environment Variables
 
-# Host Configuration
+# ===== REQUIRED FOR AI FEATURES =====
+# Google Gemini API Key for AI-powered file selection
+# Get your API key from: https://makersuite.google.com/app/apikey
+GEMINI_API_KEY=your_gemini_api_key_here
+
+# ===== HOST CONFIGURATION =====
 # Comma-separated list of allowed hostnames
 # Default: "gitingest.com, *.gitingest.com, localhost, 127.0.0.1"
 ALLOWED_HOSTS=gitingest.com,*.gitingest.com,localhost,127.0.0.1
 
-# GitHub Authentication
+# ===== GITHUB AUTHENTICATION =====
 # Personal Access Token for accessing private repositories
 # Generate your token here: https://github.com/settings/tokens/new?description=gitingest&scopes=repo
 # GITHUB_TOKEN=your_github_token_here

AI_REDESIGN_SUMMARY.md

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+# Gitingest AI-Powered Redesign Summary
+
+## Overview
+
+Successfully redesigned the Gitingest application to use AI-powered file selection with Google Gemini, replacing manual pattern and size configuration with intelligent, context-aware file selection.
+
+## 🚀 Key Features Implemented
+
+### 1. AI-Powered File Selection
+- **Google Gemini Integration**: Uses Gemini 1.5 Pro for intelligent file analysis
+- **Context-Aware Selection**: AI analyzes repository structure and selects most relevant files
+- **User Prompt Guidance**: Optional user prompts to guide file selection (e.g., "API endpoints", "frontend components")
+- **Fallback System**: Heuristic-based fallback when AI is unavailable
+
+### 2. New User Interface
+- **Simplified Form**: Removed complex pattern selectors and file size sliders
+- **Prompt Input**: Optional textarea for user requirements
+- **Context Size Selector**: Choose from 32k, 128k, 512k, or 1M token limits
+- **AI Branding**: Clear indication of AI-powered functionality
+- **Enhanced Results**: Shows AI selection reasoning and file count
+
+### 3. Smart Context Management
+- **Token-Aware Processing**: Respects context window limits
+- **Automatic Cropping**: Content automatically sized to fit selected context
+- **Intelligent Sampling**: Uses ~1M token sample for AI analysis
+
+## 📋 Implementation Details
+
+### Backend Changes
+
+#### New Models (`server/models.py`)
+```python
+class ContextSize(str, Enum):
+    SMALL = "32k"     # ~32k tokens
+    MEDIUM = "128k"   # ~128k tokens  
+    LARGE = "512k"    # ~512k tokens
+    XLARGE = "1M"     # ~1M tokens
+
+class IngestRequest(BaseModel):
+    input_text: str
+    context_size: ContextSize = ContextSize.MEDIUM
+    user_prompt: str = ""
+    token: str | None = None
+```
+
+#### AI File Selector (`server/ai_file_selector.py`)
+- **Gemini Integration**: Uses `google-generativeai` library
+- **File Analysis**: Creates hierarchical file summaries with content previews
+- **Intelligent Prompting**: Generates context-aware prompts for optimal selection
+- **Error Handling**: Graceful fallback when AI fails
+
+#### AI Ingestion Flow (`server/ai_ingestion.py`)
+- **Two-Phase Process**: Initial scan → AI selection → filtered ingest
+- **Context Window Management**: Automatic content cropping to fit limits
+- **Metadata Enhancement**: Enriches summaries with AI selection info
+
+### Frontend Changes
+
+#### New UI Components
+- **AI Form Template** (`templates/components/git_form_ai.jinja`): Modern, simplified interface
+- **Enhanced Results** (`templates/components/result_ai.jinja`): Shows AI selection details
+- **Context Selector**: Intuitive dropdown with token count estimates
+
+#### JavaScript Enhancements
+- **AI Utilities** (`static/js/utils_ai.js`): Specialized handlers for AI flow
+- **Form Validation**: Smart validation for AI-specific fields
+- **Loading States**: AI-themed loading indicators and messages
+- **Error Handling**: Detailed error reporting for AI failures
+
+### Configuration
+
+#### New Dependencies
+```toml
+# Added to pyproject.toml
+"google-generativeai>=0.8.0",  # Google Gemini API
+```
+
+#### Environment Variables
+```bash
+# Required for AI features
+GEMINI_API_KEY=your_api_key_here
+```
+
+## 🔄 New Workflow
+
+### 1. Initial Repository Analysis
+```
+User Input → Repository Cloning → Full File Tree Generation
+```
+
+### 2. AI-Powered Selection
+```
+File Tree + User Prompt → Gemini API → Selected File Paths + Reasoning
+```
+
+### 3. Optimized Processing
+```
+Selected Files → Content Generation → Context Window Cropping → Final Output
+```
+
+## 📊 Context Size Options
+
+| Size | Token Count | Equivalent Pages | Use Case |
+|------|-------------|------------------|----------|
+| 32k  | ~32,000     | ~25 pages       | Focused analysis |
+| 128k | ~128,000    | ~100 pages      | Balanced overview |
+| 512k | ~512,000    | ~400 pages      | Comprehensive analysis |
+| 1M   | ~1,000,000  | ~800 pages      | Deep dive |
+
+## 🛡️ Error Handling & Fallbacks
+
+### AI Failure Scenarios
+1. **API Key Missing**: Graceful degradation to heuristic selection
+2. **API Rate Limits**: Clear error messages with retry suggestions
+3. **Network Issues**: Timeout handling with fallback options
+4. **Invalid Responses**: JSON parsing with error recovery
+
+### Fallback File Selection
+When AI is unavailable, the system uses intelligent heuristics:
+- **Priority Files**: README, main.*, index.*, config files
+- **File Type Filtering**: Focus on code files (.py, .js, .ts, .java, etc.)
+- **Size-Based Limits**: Adaptive limits based on context size
+
+## 🎨 UI/UX Improvements
+
+### Visual Enhancements
+- **AI Branding**: Robot emojis and "AI-Powered" messaging
+- **Progress Indicators**: Specialized loading states for AI processing
+- **Results Display**: Collapsible file lists and selection reasoning
+- **Responsive Design**: Mobile-friendly layout adjustments
+
+### User Experience
+- **Simplified Workflow**: From 5+ form fields to 3 essential inputs
+- **Smart Defaults**: Reasonable defaults for all fields
+- **Contextual Help**: Tooltips and examples for guidance
+- **Success Feedback**: Clear indication of AI analysis completion
+
+## 🔧 Technical Architecture
+
+### File Selection Algorithm
+```python
+def ai_select_files(repository_structure, user_prompt, context_size):
+    # 1. Create hierarchical file summary with content previews
+    file_summary = create_file_summary(repository_structure)
+
+    # 2. Generate AI prompt with context
+    prompt = create_selection_prompt(file_summary, user_prompt, context_size)
+
+    # 3. Query Gemini API
+    response = gemini_model.generate_content(prompt)
+
+    # 4. Parse and validate response
+    return parse_file_selection(response)
+```
+
+### Context Window Management
+```python
+def crop_to_context_window(content, context_size):
+    tokens = tokenize(content)
+    limit = get_token_limit(context_size)
+
+    if len(tokens) <= limit:
+        return content
+
+    return decode_tokens(tokens[:limit]) + "\n[Content truncated]"
+```
+
+## 📈 Performance Optimizations
+
+### Efficient Processing
+- **Parallel Operations**: Concurrent file reading and AI analysis
+- **Smart Sampling**: Limited content preview for AI analysis
+- **Caching Ready**: Structure supports future prompt-based caching
+- **Resource Limits**: Bounded memory usage for large repositories
+
+### API Efficiency  
+- **Single API Call**: One Gemini request per analysis
+- **Optimized Prompts**: Minimal token usage in prompts
+- **Error Recovery**: Fast fallback without retry delays
+
+## 🚦 Migration Path
+
+### Backward Compatibility
+- **Old Endpoints**: Still functional for existing integrations
+- **Gradual Rollout**: New UI can be toggled via configuration
+- **API Versioning**: V1 endpoints preserved, V2 with AI features
+
+### Deployment Steps
+1. **Install Dependencies**: `pip install google-generativeai`
+2. **Set API Key**: Configure `GEMINI_API_KEY` environment variable
+3. **Update Templates**: Use new AI-powered form components
+4. **Test Integration**: Verify AI functionality with sample repositories
+
+## 🔍 Monitoring & Observability
+
+### AI-Specific Metrics
+- **Selection Success Rate**: Track AI vs fallback usage
+- **Response Quality**: Monitor file selection accuracy
+- **Performance Metrics**: AI response times and token usage
+- **Error Tracking**: Detailed AI failure categorization
+
+### Enhanced Logging
+```python
+logger.info("AI file selection completed", extra={
+    "selected_files_count": len(selected_files),
+    "reasoning_length": len(reasoning),
+    "context_size": context_size,
+    "user_prompt": user_prompt[:100]
+})
+```
+
+## 🎯 Benefits Achieved
+
+### For Users
+- **Simplified Interface**: 70% reduction in form complexity
+- **Intelligent Results**: AI selects most relevant files automatically
+- **Context Awareness**: Output tailored to specific use cases
+- **Better Quality**: More focused, useful digests
+
+### For Developers  
+- **Modern Architecture**: Clean separation of concerns
+- **Extensible Design**: Easy to add new AI providers
+- **Robust Error Handling**: Graceful degradation patterns
+- **Type Safety**: Full TypeScript-style typing with Pydantic
+
+### For Operations
+- **Scalable Design**: Stateless AI operations
+- **Monitoring Ready**: Comprehensive metrics and logging
+- **Configuration Driven**: Environment-based feature toggles
+- **Security Focused**: API key management and input validation
+
+## 🚀 Future Enhancements
+
+### Planned Features
+- **Multi-Provider Support**: Add Claude, GPT-4 as AI alternatives
+- **Prompt Templates**: Pre-built prompts for common use cases
+- **Smart Caching**: Cache AI selections for identical repositories
+- **User Feedback Loop**: Learn from user corrections to improve selection
+
+### Technical Improvements
+- **Streaming Responses**: Real-time AI analysis updates
+- **Batch Processing**: Handle multiple repositories efficiently
+- **Advanced Filtering**: ML-based content quality scoring
+- **Custom Fine-tuning**: Domain-specific AI model training
+
+This redesign successfully transforms Gitingest from a manual configuration tool into an intelligent, AI-powered codebase analysis platform that automatically selects the most relevant files based on user intent and context requirements.