Turn Legacy Code Into Living Product Intelligence
Measurable outcomes from treating your codebase as living product intelligence
Your codebase + support tickets + CRM data + sales calls contain all the product intelligence you need for smart prioritization. Extract this living document automatically instead of guessing what to build next.
Built to transform product feedback into revenue with AI-powered intelligence
Product Archaeology Results
Measurable impact from transforming legacy codebases into AI-ready documentation
Comprehensive product intelligence in hours, not months
vs 6 months manual effort
Full PRDs, specs, and user stories generated
vs 3+ weeks traditional approach
New developers productive from day one
vs 2-3 months typical ramp-up
Cursor and Copilot generate production-ready code
vs 40% accuracy without context
Based on analysis of 200+ engineering teams who transformed legacy codebases into AI-ready documentation
Transform Your Organisation to AI Native
You can build anything in hours with AI tools. But 95% fail because they build the wrong thing.
Example: "We have a 5-year-old e-commerce platform serving 50K users, but adding new features breaks existing functionality. Need to enhance payment flow and mobile experience safely."
Forward Mode: Idea → Spec
Strategy → personas → JTBD → use cases → stories → schema → screens → prototype.
Reverse Mode: Reality → Spec
Code & tickets → API & schema map → story reconstruction → tech-debt register → impact analysis.
Continuous Alignment
Feedback → parsed into concrete edits across specs, stories, and HTML. No manual re-writes.
Perfect for Fresh Products & Legacy Systems
Whether you're starting fresh or maintaining existing systems, transform your development process with AI-ready documentation
Fresh Product Development
Start with AI-ready foundations from day one, ensuring your new product is built with comprehensive documentation and architectural intelligence.
Challenges:
- Building without proper documentation structure
- Lack of systematic approach to feature specification
- No framework for architectural decision tracking
- Missing product intelligence from the start
Solutions:
- AI-native development workflow from project initialization
- Comprehensive PRDs and technical specs generated as you build
- Architectural decision records captured automatically
- Product intelligence system that grows with your codebase
Build products that are documented, maintainable, and AI-ready from day one.
Legacy System Maintenance
Transform existing undocumented systems into AI-compatible codebases with comprehensive architectural intelligence and maintenance workflows.
Challenges:
- Undocumented legacy codebases that AI tools can't understand
- High risk when making changes to complex systems
- Difficulty onboarding new developers to legacy systems
- Technical debt accumulation without visibility
Solutions:
- Comprehensive reverse engineering of existing architecture
- Impact analysis and dependency mapping for safe changes
- Complete documentation suite generated from existing code
- Clear technical debt identification and remediation paths
Transform legacy systems into maintainable, AI-enhanced development workflows.
Product Enhancement & Evolution
Continuously improve products with data-driven feature development, architectural intelligence, and systematic enhancement workflows.
Challenges:
- Feature decisions without architectural impact analysis
- No systematic approach to product evolution
- Lack of framework-aware enhancement strategies
- Difficulty maintaining product coherence during growth
Solutions:
- Framework-aware feature development and impact analysis
- Systematic product evolution with architectural alignment
- AI-enhanced enhancement workflows and quality assurance
- Continuous product intelligence and improvement cycles
Evolve products systematically with AI-powered enhancement and architectural intelligence.
Every Team Wins
Tailored benefits and workflows for each department, ensuring everyone gets value from intelligent roadmap planning
Product Teams
Engineering
Sales
Support
Development Success Patterns
Common patterns and outcomes from implementing AI-ready development workflows across different project types
AI-Native Fresh Start
New Product Development
Approach & Results:
Integrated product archaeology workflow into initial development process with framework-aware analysis
- 95% AI code accuracy from project start
- 3x faster feature development cycles
- Complete documentation suite maintained automatically
Outcome: AI development tools generate production-ready code that aligns perfectly with architectural decisions and business logic.
Key Insight: Starting with AI-ready foundations dramatically accelerates development velocity and maintains code quality throughout the project lifecycle.
Legacy System Transformation
Maintenance & Enhancement
Approach & Results:
Applied comprehensive reverse engineering and impact analysis to create complete architectural documentation
- 80% reduction in deployment risk
- 60% faster onboarding for new developers
- Complete technical debt visibility and remediation roadmap
Outcome: Legacy system transformed into maintainable, AI-enhanced codebase with comprehensive safety and impact analysis.
Key Insight: Reverse engineering creates the architectural knowledge needed for safe system evolution and AI tool integration.
Systematic Product Evolution
Continuous Enhancement
Approach & Results:
Implemented continuous product intelligence system with framework-aware enhancement analysis and impact tracking
- 70% improvement in feature adoption rates
- 50% reduction in architectural debt accumulation
- Comprehensive enhancement impact prediction and validation
Outcome: Product evolution becomes systematic and predictable with AI-powered enhancement workflows and architectural intelligence.
Key Insight: Continuous product intelligence enables data-driven enhancement decisions that maintain architectural integrity while maximizing feature impact.
Measurable Impact
Real results teams achieve with intelligent product management
Reduce manual feedback processing effort
Data-driven insights drive better outcomes
Teams love the clarity and speed
Focus on building, not organizing feedback
Benefits FAQ
Learn more about the measurable benefits and development patterns