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AI code reviewer for GitHub and Bitbucket pull requests
Korbit AI is an automated AI code reviewer for GitHub and Bitbucket that flags bugs, security, and quality issues in pull requests, generates PR descriptions, and offers a team dashboard. It suits engineering teams wanting faster, more consistent reviews.
Korbit AI acts as an AI reviewer that automatically inspects each pull request, flagging bugs, security vulnerabilities, performance concerns, and maintainability issues with inline comments and explanations. It integrates directly with GitHub and Bitbucket and offers an Atlassian Marketplace listing, so it slots into existing developer workflows without changing where teams work. Beyond raw issue detection, Korbit generates PR summaries, answers developer questions about the changes, and provides a management dashboard that surfaces review activity and code-quality trends across the team. This dual focus — helping individual developers ship cleaner PRs while giving engineering leaders visibility — positions it in the increasingly crowded AI code-review market alongside tools like CodeRabbit, Qodo, and Greptile. Korbit uses a per-committer seat model with a generous free Starter tier for small teams and light usage, plus a Pro plan that unlocks unlimited reviews. As with all AI reviewers, its value depends on signal-to-noise: it accelerates reviews and catches real issues, but teams should expect to tune it and still rely on human judgment for architectural decisions.
Korbit AI is an AI code reviewer for GitHub and Bitbucket that flags bugs, security, and quality issues on pull requests, writes PR descriptions, and gives teams a quality dashboard. It offers a free Starter tier and a Pro plan around $24/user/month.
Korbit Technologies builds AI tools for software engineering, with its flagship being an automated code-review product listed on the Atlassian Marketplace. The company competes in the fast-growing AI code-review category that expanded rapidly through 2024-2026.
It differentiates on native GitHub and Bitbucket support and a combination of developer-facing review plus manager-facing analytics, appealing to teams that want both cleaner PRs and organizational visibility.
Korbit reviews pull requests automatically, posting inline comments that explain detected bugs, security issues, and quality concerns. It generates PR descriptions and summaries and can answer developer questions about the changes.
A management dashboard aggregates review activity and code-quality trends across repositories and teams, giving engineering leaders a view of where issues cluster and how review is progressing.
Korbit targets software engineering teams, particularly startups and mid-size orgs on GitHub or Bitbucket that want to speed up review cycles and reduce defects. Bitbucket support makes it notable for Atlassian-centric shops.
Developers whose pull requests Korbit reviews.
Engineering managers and team leads purchasing seats.
Senior engineers evaluating review accuracy and noise.
Small-to-mid engineering teams on GitHub or Bitbucket seeking automated, consistent first-pass code review.
Korbit Technologies is a venture-backed startup; specific funding details should be verified with the company.
Korbit integrates with GitHub and Bitbucket and is available via the Atlassian Marketplace, reviewing pull requests directly in those platforms.
It flags bugs, security vulnerabilities, performance issues, and maintainability problems, and it also generates PR descriptions and answers questions about the code.
Yes. The Starter plan is free with unlimited users and repos and a limited number of PR reviews per month, plus a 30-day trial of Pro features.
Pro is priced around $24 per user/month with unlimited reviews and dedicated support, though some sources cite a per-committer figure near $20.
No. It accelerates and standardizes review and catches many issues, but human judgment is still needed for architecture and design decisions.
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