Codebased, an AI Search Engine for Code
Codebased combines Tree Sitter for code awareness (find functions, data structures, constants, etc. not just lines of code), full-text search using SQLite, and semantic search using OpenAI embeddings + FAISS. Despite being implemented in Python, supporting semantic search, making multiple API calls for embedding and re-ranking, it is faster than ripgrep for runng searches against the Linux kernel (takes ~1 second vs. ~2 seconds, obviously depends on system, temperature, time of day, tidal forces, etc.) Up next: - A Perplexity-like agent for interpreting results, making multiple follow-up…
In plain words
Codebased is an AI search engine for code that uses Tree Sitter for structural code awareness, SQLite for full-text search, and OpenAI embeddings with FAISS for semantic search. Designed for developers searching large codebases, it can find functions, data structures, and constants rather than just matching text. The tool runs searches against the Linux kernel in approximately one second, and upcoming features include an agent for interpreting results and executing shell commands.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Codebased combines Tree Sitter for code awareness (find functions, data structures, constants, etc. not just lines of code), full-text search using SQLite, and semantic search using OpenAI embeddings + FAISS. Despite being implemented in Python, supporting semantic search, making multiple API calls for embedding and re-ranking, it is faster than ripgrep for runng searches against the Linux kernel (takes ~1 second vs. ~2 seconds, obviously depends on system, temperature, time of day, tidal forces, etc.) Up next: - A Perplexity-like agent for interpreting results, making multiple follow-up searches, etc. - Custom embedding and re-ranking stack - Agent for running shell commands, editing code, etc. similar to SWe-Agent: https://arxiv.org/pdf/2405.15793.
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