What problem does it solve?
It eliminates slow, error-prone project initialization and upgrade work by turning project setup into an interactive, architecture-aware workflow that generates complete developer instructions and verifies outcomes.
Core Features & Use Cases
- Interactive project init: Collects project identity and decisions, then generates a fully populated CLAUDE.md that reflects the actual architecture and tech stack.
- MCP-driven health checks: Analyzes the solution with project graphs, anti-pattern scans, diagnostics, dead code detection, and test coverage mapping to produce a graded report card.
- Migration guidance (entry-point): Helps route .NET and workflow upgrades through a planned approach, with verification steps and priority actions after changes.
Example Use Case: You are joining an existing repo and need a trustworthy baseline—run a health check to identify architectural issues, compiler warning hotspots, dead code, and missing test coverage, then use the results to drive targeted improvements and onboarding.
Quick Start
Ask the AI to run a project health check and produce a graded report card with priority fixes for your repository.