Bloop AI

Bloop AI's key features include AI-based conversational search to query code naturally, Code Studio as an LLM playground using your codebase as context, blazing fast regex search and sophisticated query filters, syncing local and GitHub repositories with support for all git repos, precise code navigation (go-to-reference, go-to-definition) across 10+ popular languages, and privacy-focused on-device embedding for semantic search where indexing and searches keep your code private locally.

Bloop AI can be used for accelerating code retrieval and understanding large codebases, facilitating code review, refactoring, and learning, supporting modernization of legacy systems including migrating COBOL to Java with safe, human-readable conversions, improving collaboration through clear code context access and explanation, and writing new features considering existing code context, for example, generating Dockerfiles.

Bloop AI is available as a free desktop app for Mac, Windows, and Linux. It can be built from source or run from the command line, and requires configuration with a GitHub access token and an OpenAI API key. Code is indexed locally, and no telemetry is collected if built from source.

Bloop AI is developed by a startup focused on automating engineering workflows, backed by Y-Combinator, and based in New York. The tool supports multiple languages and can handle multiple code repositories locally, with ongoing advancements in cross-project querying. Additionally, pricing has a freemium model, and the privacy policy emphasizes code confidentiality and compliance.