Your vibe coded repo is rotting. I built an open source MCP to show Claude Code exactly where

Reddit r/AI_Agents Tools

Summary

Repowise is an open-source MCP tool that provides AI coding agents like Claude Code with codebase intelligence, including a 12-biomarker code health score, dependency analysis, git insights, and auto-generated docs, all running offline with Ollama.

I've been vibe coding full time with Claude Code for months. Shipped fast, felt great. Then I looked back at what I'd built. Dead functions nobody calls. Cyclomatic complexity through the roof. Duplicated blocks across modules because Claude didn't know they existed elsewhere. Files that secretly always change together but share no import link. When you ask Claude to refactor something, it's flying blind. It doesn't know that file has 30 dependents, or that it's been churning 40 commits a month, or that one dev wrote 85% of it. So I built Repowise. Open source codebase intelligence for AI coding agents, exposed via MCP. Just shipped the 5th intelligence layer: Code Health. 12 deterministic biomarkers compute a 1-10 health score per file. McCabe complexity, deep nesting, brain methods, Rabin-Karp duplication detection, untested hotspots, primitive obsession, developer congestion, knowledge loss risk. Zero LLM calls. Pure Python over tree-sitter and git data. Under 30 seconds on a 3,000-file repo. Feed it your LCOV/Cobertura coverage reports and it lights up test coverage biomarkers too. Rolling snapshot history flags declining health before files become a real problem. Claude Code gets all of this through \\\`get\\\_health()\\\`. So when you say "refactor the payments module" it knows which files are rough, what's specifically wrong, and gives deterministic refactoring suggestions ranked by impact vs effort. Code Health is layer 5 of 5. The others: dependency graph analysis (tree-sitter + PageRank + community detection), git intelligence (hotspots, ownership, co-change pairs, bus factor from 500 commits), auto-generated docs with semantic search and freshness scoring, and architectural decision tracking linked to the code it governs. All five layers, 8 MCP tools. One \\\`pip install repowise\\\`, one \\\`repowise init\\\`, done. Open source, AGPL-3.0. Runs fully offline with Ollama. Your code stays on your machine. Would love some feedback!
Original Article

Similar Articles

@GitTrend0x: Claude Code Codebase Smart Brain — 27× Token Savings Killer Open-Source Tool https://github.com/repowise-dev/repowise… This is Repowise, a codebase intelligence platform built for AI-assisted engineering teams! It turns...

X AI KOLs Timeline

Repowise is an open-source tool that indexes codebases into four intelligence layers (dependency graph, git history, auto-documentation, architectural decisions) and exposes them via seven MCP tools to AI coding agents like Claude Code, achieving up to 27× token savings while maintaining answer quality.

I vibecoded something engineers are starring in github

Reddit r/AI_Agents

The author announces iai-mcp, a local memory tool for Claude Code that retains context across sessions, and reflects on the positive community feedback and rapid iteration following its GitHub release.