What is Korbit AI?

Korbit AI is an AI code reviewer that works inside pull requests on GitHub, GitLab, and Bitbucket. It reviews each PR first, finds bugs, and explains how to fix them before a human reviewer steps in. It fits teams that already use one of those three version-control platforms and want faster review cycles, fewer defects reaching production, and a way to upskill junior developers through consistent automated feedback.

How it works in practice

Korbit connects to your repository host and comments directly on pull requests. The workflow described on the site is:

1. A developer opens or updates a pull request.
2. Korbit reviews the PR and posts real-time, actionable feedback, including bug explanations and suggested fixes.
3. The developer addresses the findings, then submits the PR for team review and approval.
4. Korbit continues to assist during that human review stage.

The intended result is that human reviewers spend their time on design and logic rather than catching mechanical defects, and that issues are found before testing or production.

What it integrates with

Integration happens through your existing version-control system. One customer quoted on the site, Payground's VP of Technology, described the GitHub integration as "a good fit" and highlighted the per-PR summaries and feedback quality.

What teams report

The site's customer testimonials describe several concrete outcomes:

• Catching issues before human review. Sonr's CTO said Korbit caught issues that had slipped through human reviews, and Power Digital's Director of Engineering said it reduced critical support tickets by catching bugs before production.
• Faster, less bottlenecked reviews. Data Buddies' CTO described it as "unlimited PR reviewers available 24/7," and Gladstone Software's CTO said it removed a bottleneck on key developers.
• Training value. Gladstone Software also uses it as a training tool for junior developers; Data Buddies reported engineers learning new skills.
• Measured impact. Muus Collective's SVP of Technology attributed a 3%+ improvement in D1 retention to more stable, less buggy builds. One engineer reported that 47% of Korbit's suggestions get implemented and fixed.

These are vendor-published testimonials, so treat the numbers as directional rather than independently verified.

Who it suits

Korbit is a reasonable fit if:

• Your team hosts code on GitHub, GitLab, or Bitbucket.
• Pull requests are a real bottleneck, either because senior reviewers are overloaded or because review quality varies.
• You want consistent first-pass feedback on every PR, including for less experienced developers.

It is less relevant if your team does not use pull-request-based workflows on those platforms, or if you already have a code review process that meets your quality and speed targets.

Trying it

The site advertises a 14-day free trial and offers a demo request. Pricing details are not specified in the available page content, so confirm plan costs and seat limits directly with Korbit before committing. The trial is the practical way to judge feedback quality on your own codebase, since review usefulness depends heavily on your language mix and codebase conventions.