# PRD: Code Analysis Engine for Automated Recommendation Input
**Created**: 2025-07-28
**Status**: Draft
**Owner**: Viktor Farcic
**Last Updated**: 2025-07-28
## Executive Summary
Build code analysis engine that scans application repositories and automatically generates deployment intent and configuration recommendations, eliminating manual application description.
## Documentation Changes
### Files Created/Updated
- **`docs/code-analysis-guide.md`** - New File - Complete guide for automated code analysis and recommendations
- **`docs/mcp-guide.md`** - MCP Documentation - Add code analysis and repository scanning MCP tools
- **`README.md`** - Project Overview - Add automated code analysis to core capabilities
- **`src/core/analysis/`** - Technical Implementation - Code analysis engine modules
### Content Location Map
- **Feature Overview**: See `docs/code-analysis-guide.md` (Section: "What is Code Analysis")
- **Repository Scanning**: See `docs/code-analysis-guide.md` (Section: "Repository Analysis")
- **Setup Instructions**: See `docs/code-analysis-guide.md` (Section: "Configuration")
- **MCP Tools**: See `docs/mcp-guide.md` (Section: "Code Analysis Tools")
- **Examples**: See `docs/code-analysis-guide.md` (Section: "Usage Examples")
### User Journey Validation
- [ ] **Primary workflow** documented end-to-end: Point to repo → Analyze code → Get deployment recommendations → Deploy
- [ ] **Secondary workflows** have complete coverage: Configuration analysis, dependency detection, optimization suggestions
- [ ] **Cross-references** between manual and automated recommendation workflows work correctly
- [ ] **Examples and commands** are testable via automated validation
## Implementation Requirements
- [ ] **Core functionality**: Repository scanning and code analysis - Documented in `docs/code-analysis-guide.md` (Section: "Analysis Engine")
- [ ] **User workflows**: Automated intent generation and configuration recommendations - Documented in `docs/code-analysis-guide.md` (Section: "Automated Workflows")
- [ ] **Performance optimization**: Efficient code analysis with caching and parallel processing
### Success Criteria
- [ ] **Analysis accuracy**: Accurately identify application type, dependencies, and requirements from code
- [ ] **Recommendation quality**: Generated deployment recommendations match or exceed manual descriptions
- [ ] **Repository support**: Support for major programming languages and frameworks
- [ ] **Integration seamless**: Code analysis integrates smoothly with existing recommendation workflows
## Implementation Progress
### Phase 1: Core Code Analysis Engine [Status: ⏳ PENDING]
**Target**: Basic repository scanning with application type detection
**Documentation Changes:**
- [ ] **`docs/code-analysis-guide.md`**: Create complete code analysis and automation guide
- [ ] **`docs/mcp-guide.md`**: Add repository analysis and scanning MCP tools
- [ ] **`README.md`**: Update capabilities to include automated code analysis
**Implementation Tasks:**
- [ ] Design CodeAnalysisEngine class with repository scanning capabilities
- [ ] Implement application type detection for common frameworks
- [ ] Create dependency analysis for resource requirement estimation
- [ ] Build configuration file parsing for deployment hints
### Phase 2: AI-Powered Analysis and Recommendations [Status: ⏳ PENDING]
**Target**: Intelligent analysis with AI-generated deployment recommendations
**Implementation Tasks:**
- [ ] Integrate AI analysis using Claude for code interpretation
- [ ] Implement automated intent generation from code analysis
- [ ] Create configuration recommendation system based on code patterns
- [ ] Add optimization suggestions for performance and resource usage
### Phase 3: Advanced Analysis Features [Status: ⏳ PENDING]
**Target**: Comprehensive code analysis with specialized recommendations
**Implementation Tasks:**
- [ ] Add security analysis and recommendation integration
- [ ] Implement multi-service and microservice architecture detection
- [ ] Create CI/CD integration for automated analysis workflows
- [ ] Build analysis caching and incremental scanning for large repositories
## Work Log
### 2025-07-28: PRD Refactoring to Documentation-First Format
**Completed Work**: Refactored PRD #22 to follow new documentation-first guidelines with comprehensive code analysis engine features.
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## Appendix
### Supported Analysis Types (Planned)
- **Application Type Detection**: Web apps, APIs, databases, workers, microservices
- **Framework Recognition**: Node.js, Python, Java, Go, .NET frameworks
- **Dependency Analysis**: Package files, database requirements, external services
- **Configuration Parsing**: Dockerfile, docker-compose, existing Kubernetes manifests
- **Resource Requirements**: Memory, CPU, storage estimation from code patterns
