Don't just grep strings. Search logic, dependencies, and implementations semantically. Sign up to index your own private repositories.
Popular queries:
When agents ingest entire files, 90% of what they read is boilerplate noise. This saturates the context window, triggers hallucinations, and skyrockets your API costs.
Reduce your token consumption by up to 50% and eliminate the 'context rot' caused by cluttered context windows.

How we turn a raw codebase into context in minutes
Paste a URL or connect GitHub. We automatically ingest, map the AST, and clean the boilerplate.

We convert massive codebases into token-optimized, searchable Markdown ready for your agents' context windows.

Run high-speed queries and deploy agents with grounded context. Plug this context anywhere via MCP, or API.

Raw code creates noise. Code Fundi generates the signal.

Automatically convert entire repos into token-optimized Markdown. Perfect for RAG, documentation, and prompt engineering.
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Execute sub-second queries across multiple public repos simultaneously. Find the needle in the AST.
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Stay informed as your codebase evolves, ensuring human teams and agents never lose track as it scales.
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We map code structure and flow, not just text. Ensure your agents understand the 'Why', not just the 'What'.
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The primary API for parallel agent teams. Scale your infrastructure to handle QA, documentation, and complex refactoring.
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Generate high-quality datasets directly from your codebases for custom model fine-tuning and post-training.
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See how CodeFundi works for your use case firsthand.
What teams say about Code Fundi.
βCodeFundi is modelling its system on how real engineering teams work.β
TechCabal
βThis is a good one for developers. Definitely adding Code Fundi to the list of tools to watch out for.β
Team at The AI Colony
βI have used more than a few LLM coding tools, and none of them came even close to the quality of code that this pumps out. Code is almost without exception correct and runs first time.....installation is simple and this kills the other AI coders still in the water.β
Senior Engineer
βCodeFundi is modelling its system on how real engineering teams work.β
TechCabal
βThis is a good one for developers. Definitely adding Code Fundi to the list of tools to watch out for.β
Team at The AI Colony
βI have used more than a few LLM coding tools, and none of them came even close to the quality of code that this pumps out. Code is almost without exception correct and runs first time.....installation is simple and this kills the other AI coders still in the water.β
Senior Engineer
βI have been using it on @trypearai and it's incredible.β
Developer
βBest LLM out there. Very concise and easy to use.β
Founder
βVery useful AI assistant I endorse.β
Web Developer
βI have been using it on @trypearai and it's incredible.β
Developer
βBest LLM out there. Very concise and easy to use.β
Founder
βVery useful AI assistant I endorse.β
Web Developer
βCodeFundi is modelling its system on how real engineering teams work.β
TechCabal
| Capabilities | CodeFundi v2 | TryNia | Context7 | Supermemory | Copilot |
|---|---|---|---|---|---|
Repo-to-Markdown Distillation Strips 50% of boilerplate noise into logic-dense, token-optimized Markdown. | |||||
AST Structural Mapping Understands logic hierarchy and code 'Why', not just text-based similarity. | |||||
Multi-Repo Search Query patterns across multiple public repos with semantic and grep retrieval. | |||||
Native Developer and Agent Integration Built-in Cursor, VS Code and MCP for Claude/Agentic tool use. | |||||
Training Data Factory Export file-by-file logic and patterns into fine-tuning datasets for custom LLMs. | |||||
Architectural Impact Radar Visualizes 'Blast Radius' and downstream effects of code changes across services. | |||||
Deterministic RAG (Zero Hallucination) Eliminates LLM 'drifting' by grounding every response in verified line-number context. | |||||
Zero-Data Retention (ZDR) Enterprise-grade privacy; proprietary code is never used for training public models. |