“CodeFundi is modelling its system on how real engineering teams work.”
TechCabal
| Operation | Cost |
|---|---|
Semantic Search Fast retrieval across indexed repos. | 5 credits / query |
Multi-Repo Search Search multiple repos in one request. | 5 credits / query |
Research (Search + AI) Search with grounded AI synthesis. | 5+ credits / query |
Blast-Radius Analysis Downstream impact before you ship. | 5+ credits / query |
Codebase Map / Index Structural map per indexed file. | 6 credits / file |
File Details (Logic Map) File summary with deps and functions. | 2 credits / file |
Repo & File Listings List repos, files, or READMEs. | 1 credit / request |
Default tier rates. Research and Chat add LLM usage on top.
| Capabilities | CodeFundi | TryNia | Context7 | Supermemory | Copilot |
|---|---|---|---|---|---|
Blast-Radius Guard Visualizes the blast radius and downstream effects of code changes across services, before the edit ships. | |||||
Codebase Map Distillation Strips 50% of boilerplate noise into a logic-dense, token-optimized codebase map. | |||||
Structural Dependency Mapping Understands logic hierarchy and what breaks downstream, 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. | |||||
Deterministic, Grounded RAG Eliminates LLM 'drifting' by grounding every response in verified line-number context and the blast radius of every change. | |||||
Training Data Factory Export file-by-file logic and patterns into fine-tuning datasets for custom LLMs. | |||||
Zero-Data Retention (ZDR) Enterprise-grade privacy; proprietary code is never used for training public models. |