Convert Giant Codebases into Deterministic AST Knowledge Graphs via Open-Source Graphify
A viral code-understanding breakthrough with 130k+ GitHub stars! Graphify replaces fragile vector chunking with deterministic local AST and Leiden community detection. It parses millions of lines of code, SQL migrations, API specs, and architectural docs into an explicit, explainable knowledge graph over MCP for Claude Code, Cursor, Codex, and Gemini CLI—delivering zero-hallucination refactoring and dependency tracing.
Traditional vector chunking shreds syntactic context and misses indirect call chains, causing hallucinations during refactoring. Graphify builds deterministic AST compiler graphs, letting coding agents inspect call hierarchies with pinpoint precision.
Step-by-Step Action Checklist
0 / 4 CompletedI am using open-source Graphify to refactor a complex multi-tier enterprise codebase. Please provide: 1) [Graphify MCP Integration Config]: Ready-to-use mcpServers JSON block for Claude Code & Cursor, indexing code, SQL migrations, and docs; 2) [Blast-Radius Audit Prompt Template]: An agent prompt directing the LLM to traverse Graphify graph edges to identify downstream ripple effects before modifying AuthService.validateToken; 3) [CI/CD Graph Consistency Workflow]: A GitHub Actions workflow running graphify check on every pull request to enforce clean architectural boundaries.