Fine-Tune Your Own Coding Modelsusing your proprietary codebase
Don't train on public noise. Use Code Fundi to extract, pair, and structure your private code into high-quality datasets for custom post-training.
Popular queries:
Burn 50% Less Tokens Today
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.
Connect. Index. Automate.
How we turn a raw codebase into context in minutes
1. Connect the Source
Paste a URL or connect GitHub. We automatically ingest, map the AST, and clean the boilerplate.
2. Distill to Markdown
We convert massive codebases into token-optimized, searchable Markdown ready for your agents' context windows.
3. Search & Link to Agents
Run high-speed queries and deploy agents with grounded context. Plug this context anywhere via MCP, or API.
Built for Agents and Applications
Raw code creates noise. Code Fundi generates the signal.
Turn Repos into Markdown
Automatically convert entire repos into token-optimized Markdown. Perfect for RAG, documentation, and prompt engineering.
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Universal Search
Execute sub-second queries across multiple public repos simultaneously. Find the needle in the AST.
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Real-Time Observability
Stay informed as your codebase evolves, ensuring human teams and agents never lose track as it scales.
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AST-Aware Logic Mapping
We map code structure and flow, not just text. Ensure your agents understand the 'Why', not just the 'What'.
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Agentic Data Layer
The primary API for parallel agent teams. Scale your infrastructure to handle QA, documentation, and complex refactoring.
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Training Data Generation
Generate high-quality datasets directly from your codebases for custom model fine-tuning and post-training.
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Need a Demo?
See how CodeFundi works for your use case firsthand.
What teams say about Code Fundi.
“CodeFundi is modelling its system on how real engineering teams work.”
Opeyemi Kareem
TechCabal
“This is a good one for developers. Definitely adding Code Fundi to the list of tools to watch out for.”
@TheAIColony
Team at The AI Colony
“I 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.”
Aaron Francis
Senior Engineer
“CodeFundi is modelling its system on how real engineering teams work.”
Opeyemi Kareem
TechCabal
“This is a good one for developers. Definitely adding Code Fundi to the list of tools to watch out for.”
@TheAIColony
Team at The AI Colony
“I 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.”
Aaron Francis
Senior Engineer
“I have been using it on @trypearai and it's incredible.”
Bryane
Developer
“Best LLM out there. Very concise and easy to use.”
Collins Korir
Founder
“Very useful AI assistant I endorse.”
Lateef Machi
Web Developer
“I have been using it on @trypearai and it's incredible.”
Bryane
Developer
“Best LLM out there. Very concise and easy to use.”
Collins Korir
Founder
“Very useful AI assistant I endorse.”
Lateef Machi
Web Developer
“CodeFundi is modelling its system on how real engineering teams work.”
Opeyemi Kareem
TechCabal
- ✅ 500 Credits
- ✅ Public Repo Index
- ✅ 24-Hour Usage Logs
- ✅ Simple Markdown Data
- ✅ Single Codebase Search/Chat
- ✅ Email Support
- ✅ 5,000 Credits/Mo
- ✅ 10 Private Repo Indexes
- ✅ 7-Day Usage Logs
- ✅ Detailed Markdown Data
- ✅ Multi-Codebase Search/Chat
- ✅ Priority Support
- ✅ 50,000 Credits/Mo
- ✅ 50 Private Repo Indexes
- ✅ 60-Day Usage Logs
- ✅ Enteprise-Grade Markdown Data
- ✅ Multi-Codebase Search/Chat
- ✅ Dedicated Support
- ✅ Customizable Storage & Usage
- ✅ Zero-Data Retention (ZDR)
- ✅ On-Premise / VPC Deployment
- ✅ Dedicated Account Manager
- ✅ Centralized Billing & Auditing
- ✅ Service Level Agreements
Frequently Asked Questions
Built for Agents, Not Just Search
| 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. |