Maintainer of CodeGraphContext, an open-source developer tooling project focused on graph-based code understanding for AI and large-scale software systems.
CodeGraphContext is an open-source developer infrastructure tool that indexes source code into a continuously updated graph, enabling AI assistants and engineering teams to understand real-world codebases with accuracy and context.
Ensures CodeGraphContext stays stable and up-to-date with rapid changes in the AI ecosystem (MCP updates, new language CLIs). Covers CI/CD costs for graph testing and critical bug fixes.
Accelerates development of Semantic Search (GraphRAG) and high-priority Roadmap items like SCIP indexing for Python. Enables adding support for 5+ new languages/frameworks per year.
Builds the 'CGC Cloud' infrastructure for shared team contexts and scales contributor programs (bounties for complex issues). Positions CGC as essential AI infrastructure.