CodeRabbit
AI code review on every pull request
AI code review agent that learns from your team's past PRs and discussions
Baz is an AI code review agent that reviews PRs with full-codebase context, learns your team's conventions via Discussion Memory, runs inside GitHub, and offers a CLI and enterprise self-hosting.
Baz is an AI code review agent designed to give context-aware, actionable feedback rather than generic linting. It reads the whole codebase to catch issues other tools miss, organizes large diffs into clear topics, and highlights risky changes. A distinguishing feature is Discussion Memory, which converts a team's historical pull request discussions into reusable knowledge so the reviewer surfaces repeated themes, best practices, and prior decisions. Beyond automated PR review, Baz has expanded into a broader engineering review platform covering implementation plans, security findings, and merge decisions. It runs inside GitHub, suggests without blocking, and offers Custom Reviewers trained on your past PRs, plus the Baz CLI for reviewing a change against requirements and expectations locally. Enterprise, self-hosted options are available for organizations with strict deployment needs, and Baz has publicly detailed accuracy work built on Amazon Bedrock AgentCore.
Baz is an AI engineering review platform that reviews PRs with full-codebase context and learns team conventions via Discussion Memory, with a CLI and enterprise self-hosting.
Baz is a startup building an AI-powered engineering review platform, backed by investors including boldstart ventures. It focuses on making code review context-aware and adaptive to each team's history.
The company has expanded from pull request review into a broader platform spanning implementation plans, security findings, and merge decisions, and has published technical work on improving review accuracy using Amazon Bedrock AgentCore.
Baz reviews changes with whole-codebase context, organizes large diffs into topics, highlights risky changes, and builds Discussion Memory from past PRs. Custom Reviewers can be trained on a team's history, and the Baz CLI enables local, requirement-based validation.
It runs inside GitHub and suggests without blocking, integrates with Slack, and offers enterprise self-hosted deployment for teams with strict requirements.
Software engineering teams, particularly those on GitHub with established review practices who want AI review that reflects their own conventions and history.
Developers submitting and reviewing pull requests.
Engineering managers and VPs of engineering.
Staff engineers and security leads.
Mid-size to enterprise GitHub teams wanting context-aware, conventions-aware AI code review.
Backed by boldstart ventures and other investors; exact totals should be verified with the vendor.
Baz reads the whole codebase and your team's past PR discussions to give context-aware, prioritized feedback rather than surface-level style checks.
It converts your historical pull request discussions into reusable knowledge so Baz surfaces repeated themes, best practices, and prior decisions during reviews.
No. Baz runs inside GitHub and suggests improvements without blocking, so teams can ship faster while keeping quality consistent.
Yes. Baz offers enterprise, self-hosted deployment options for organizations with specific security or compliance requirements.
Yes. The Baz CLI lets you review a change against requirements locally, checking whether edge cases and intended behavior are handled before merging.
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