Launch HN: Bloop (YC S21) – Code Search with GPT-4

Hey HN, we’re the cofounders of bloop ( https://bloop.ai/ ), a code search engine which combines semantic search with GPT-4 to answer questions. We let you search your private codebases either the traditional way (regex or literal) or via semantic search, ask questions in natural language thanks to GPT-4, and jump between refs/defs with precise code navigation. Here’s a quick demo: https://www.loom.com/share/8e9d59b88dd2409482ec02cdda5b9185 Traditional code search tools match the terms in your query against the codebase, but often you don’t know the right terms to start with, e.g. ‘Which library do we use for model inference?’ (These types of questions are particularly common when you’re learning a new codebase.) bloop uses a combination of neural semantic code search (comparing the meaning - encoded in vector representations - of queries and code snippets) and chained LLM calls to retrieve and reason about abstract queries. Ideally, a LLM could