Transform Legacy Code Into Product Intelligence
Extract product specifications from existing codebases
Transform undocumented legacy code into comprehensive product intelligence. Our AI analyzes your existing codebase to extract business logic, user flows, and technical architecture.
Built to transform product feedback into revenue with AI-powered intelligence
Reverse Engineering Process
From legacy code to comprehensive product intelligence in 6 systematic stages
Codebase Analysis
Deep scan of repository structure, dependencies, and architecture patterns
Data Model Extraction
Identify database schemas, API endpoints, and data relationships
Business Logic Mining
Extract business rules and decision logic from existing code
User Flow Reconstruction
Map actual user journeys based on code paths and analytics
Technical Debt Detection
Identify architectural issues, code complexity, and refactoring opportunities
Documentation Generation
Create comprehensive specs that reflect current reality
What You Discover
Comprehensive analysis of your existing product and codebase reality
Product Reality Report
What your product actually does vs. what you think it does
Technical Debt Register
Comprehensive mapping of technical debt with impact analysis
User Story Reconstruction
Stories derived from actual code behavior and user patterns
AI-Ready Documentation
Complete specs that AI development tools can understand
Technical Architecture
How our AI-powered codebase analysis engine works
AST Parsing
Parse source code into abstract syntax trees for deep structural analysis
Dependency Mapping
Build comprehensive dependency graphs across modules and services
AI Analysis
Machine learning models extract business logic and user flow patterns
Implementation Process
Step-by-step guide to reverse engineering your codebase
Repository Setup
Connect Repository
Grant read-only access to your codebase via GitHub, GitLab, or direct upload
Configure Analysis
Select frameworks, languages, and analysis depth preferences
Initialize Scan
AI begins comprehensive codebase analysis and pattern recognition
Analysis & Output
Extract Patterns
Identify business logic, data flows, and architectural decisions
Generate Documentation
Create comprehensive specs, user stories, and system documentation
Validate & Refine
Human-in-the-loop validation ensures accuracy and completeness
Common Use Cases
When reverse mode analysis delivers maximum value
Legacy System Documentation
Convert undocumented legacy systems into comprehensive specifications for AI development tools.
- • Extract business rules from legacy code
- • Generate API documentation
- • Map data relationships and dependencies
- • Create user journey documentation
AI Tool Context Enhancement
Provide Cursor AI and other tools with architectural context for better code suggestions.
- • Framework-aware analysis
- • Dependency mapping for AI tools
- • Business logic context
- • Production-safe suggestions
Reverse Mode FAQ
Common questions about codebase analysis and product archaeology
Analysis Performance
Real metrics from reverse mode analysis
Business logic extraction
Legacy to AI-ready docs
Per enterprise project
Code functionality mapped