Understand codebases with GPT-4
and semantic code search
Natural language search surfaces internal libraries and existing patterns. This helps prevent stale code, dependency bloat and frees up time to work on unsolved problems.
Former GitHub Code Search Lead
Making it easier to discover internal APIs improves adoption and reduces duplication. bloop’s natural language search returns accurate results in less time, making it a powerful alternative to slow keyword searches and asking colleagues for help.
bloop understands your codebase. When responding to natural language searches, complex concepts are summarised and the intention behind code is explained.
Understanding code is a major component of every developer’s day. bloop’s summarization helps close the development loop by speeding up code review, planning and many other tasks.
You can follow up a natural language search with a codebase change. This is ideal for small changes and can be initiated by anyone on the team, regardless of coding ability.
The only platform that offers natural language search, regex matching and precise code navigation for your private codebases
Natural language search can answer in over 20+ languages. Génial, non ?
Built in Rust, bloop is the fastest way to find code, identifiers, paths and repos with regex.