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Understand codebase health, docs, git analytics, and architecture decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "repowise" yet — see the docs or source repo.
Analyze this codebase’s overall health, provide a code health score, and identify high-complexity, high-maintenance-risk modules with improvement suggestions.
A code health score, a list of key risk areas, and actionable refactoring and maintenance recommendations.
Based on the current repository structure and core modules, generate a draft project overview, module documentation, major dependencies, and startup instructions.
A clearly structured documentation draft that helps new team members understand and onboard to the codebase quickly.
Detect unused code, deprecated modules, and potential architectural issues in the repository, and summarize what should be kept, removed, or refactored.
A list of dead code and architecture issues, with impact explanations and recommended actions for each.
Search and understand indexed repositories without setting up local code indexing.
Build a local code intelligence layer for AI agent code exploration.
Build a local code intelligence layer for AI-driven code exploration.
Expose repository decisions, pitfalls, and guardrails to AI coding agents.
Audit code, query knowledge graphs, and generate project docs through MCP.
Analyze any codebase and deliver structured, token-efficient context for AI assistants.