CodeGraphContext v0.4.0 drops with graph-based indexing

CodeGraphContext is a critical piece of infrastructure for AI-assisted development, moving beyond simple text-based search to structural code understanding.

• –Replaces brittle RAG with relationship-aware graphs (files, classes, calls) for extreme precision in local context.
• –Live-watching updates the graph in real-time as files change, ensuring AI agents never work with stale data.
• –Lightweight and zero-config by default with KùzuDB, while supporting Neo4j for enterprise-scale needs.
• –Supporting 15 languages, it has quickly gained traction with 3k stars and widespread adoption in the MCP ecosystem.
• –Positions itself as the essential "shared infrastructure" between large codebases and AI agents.