Code Fundi provides a codebase map that helps engineering teams understand dependencies, blast radii, and changes before they ship. It ingests repositories from URLs or GitHub, builds a token-optimized map, and makes it searchable for agents and humans alike. The product emphasizes grounding AI outputs in verified context rather than generic results, and it targets teams building software with AI-assisted workflows.
Code Fundi offers a real-time, blast-radius aware view of code changes. It connects sources, constructs a detailed map, and links this map to agents via MCP or API so that queries can drive automated workflows. The approach combines code understanding with actionable context to reduce regressions and improve collaboration between humans and AI.
It highlights capabilities around multi-repo search, codebase mapping, and deterministic context for AI agents, aiming to integrate into existing developer tooling.
Code Fundi lists its plans, platform extensions, and integrations, including VS Code, Cursor, Windsurf, MCP, and an API, and notes tiered pricing with free and paid options. It also mentions enterprise privacy and data handling practices within its documentation.
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