What Code Fundi Does

Code Fundi is a specialized platform that transforms raw codebases into intelligible, searchable context optimized for AI agents and development teams. It indexes repositories and converts them into token-efficient Markdown while preserving structural logic and architectural relationships. The platform provides sub-second semantic retrieval across single or multiple codebases, enabling both human engineers and AI agents to understand code patterns, logic flows, and architectural decisions without wading through boilerplate noise.

Key Problem Solved

When AI agents ingest entire files, up to 90% of what they process is boilerplate that saturates context windows, triggers hallucinations, and dramatically increases API costs. Code Fundi reduces token consumption by up to 50% by distilling codebases into logic-dense, AST-aware representations that preserve the 'why' behind the code, not just the 'what.'

Core Features and Capabilities

• AST-Aware Logic Mapping: Maps code structure and control flow to help agents understand architectural intent and logic hierarchy
• Repo-to-Markdown Distillation: Automatically converts entire repositories into token-optimized, searchable Markdown perfect for RAG systems and prompt engineering
• Multi-Codebase Semantic Search: Execute queries across hundreds of public repositories simultaneously with advanced pattern matching
• Real-Time Observability: Track codebase evolution to ensure teams and agents stay synchronized as projects scale
• Training Data Generation: Export file-by-file logic and patterns for custom LLM fine-tuning and post-training datasets
• Zero-Data Retention (ZDR): Enterprise-grade privacy ensuring proprietary code never trains public models
• Architectural Impact Radar: Visualizes downstream effects and blast radius of code changes across services

Integration and Workflow

Code Fundi integrates directly into development workflows through VS Code, Cursor, and Windsurf extensions, plus native Model Context Protocol (MCP) support for Claude and other agentic systems. Teams can connect GitHub repositories or paste URLs to begin indexing within minutes. The platform exposes context via API and cURL, making it the primary data layer for parallel agent teams handling QA, documentation, refactoring, and technical due diligence.

Who It's For

Code Fundi serves development teams building AI agents, DevRel professionals generating documentation, engineering leaders conducting technical audits, and organizations modernizing legacy systems. It's designed for anyone who needs to give AI agents grounded, accurate codebase context without the overhead of full-file ingestion.