Korbit
Last Updated on: Feb 17, 2026
Korbit
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What is Korbit?
Korbit AI is an AI code-review assistant built to help development teams ship better code faster, by integrating deeply into pull request workflows on platforms like GitHub, GitLab, and Bitbucket. It automatically analyzes every PR to find bugs, security issues, style/policy violations, or maintainability risks, provides real-time feedback, and even suggests how to fix problems. It creates summary commentary, incident investigations, and analytics dashboards that help managers and teams understand the health of their codebase.

With zero setup, Korbit works immediately after installation, responds to comments, generates PR descriptions, enforces custom rules and standards, and supports continuous improvement in development processes. Its goal is to reduce review bottlenecks, catch bugs early, maintain consistency, and allow developers to focus more on features instead of firefighting or reviewing trivial style issues.
Who can use Korbit & how?
  • Development Teams & Engineers: who want faster, more reliable PR (pull request) review cycles.
  • Software Managers & CTOs: needing visibility and analytics over code quality, security, and policy compliance.
  • DevSecOps & Security Engineers: who want early detection of vulnerabilities.
  • Open-Source Contributors: making PRs on GitHub/GitLab where feedback is automatic.
  • Organizations scaling engineering output: needing consistency across many teams and reducing review burden.

How to Use It:
  • Install & Connect Repo: Hook Korbit up to your GitHub, GitLab, or Bitbucket repository.
  • Create or Open a Pull Request: Write your code changes as usual.
  • Automatic Review: Korbit analyzes the PR, flags issues, suggests fixes, and summarizes major problems.
  • Review & Respond: Developers receive the feedback in PR comments, act on suggestions, adjust accordingly.
  • Use Insights Dashboard: See analytics on code health, team performance, trends, and incident summaries.
What's so unique or special about Korbit?
  • Deep Project Context: Korbit leverages the history of the repo, custom settings, and feedback patterns to reduce noise and highlight the most meaningful issues.
  • Real-Time Actionable Feedback: Issues are flagged with suggestions so code issues are caught before merge.
  • Zero Setup & Seamless Integration: Works with existing version control platforms without complex configuration.
  • PR Summaries & Fix-Suggestions: Not just detection, but helping developers understand what needs fixing and how.
  • Analytics & Code Insights: Provides dashboards, vulnerability alerts, root causes, compliance tracking to help managers catch systemic issues.
Things We Like
  • Significantly reduces manual review workload.
  • Helps catch bugs, style violations, and security risks early.
  • Improves consistency and code quality across an organization.
  • Summaries and fix suggestions make feedback actionable.
  • Excellent visuals and dashboards for team insights.
Things We Don't Like
  • Performance depends on the codebase size and complexity of PRs.
  • Some false positives or lower-severity issues may require filtering.
  • Custom rule enforcement may need tweaking per team.
  • For extremely large or complex repos, initial setup of rules or context may take effort.
  • Premium features (if any) may have cost thresholds.
Photos & Videos
Screenshot 1
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Pricing
Paid

Korbit Pro

$ 15.00

  • Per user

Korbit Max

$ 24.00

  • Per user

Korbit Enterprise

Custom

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Popular Mention

FAQs


An AI code review tool that integrates with GitHub, GitLab, Bitbucket to provide automated feedback, summaries, issue detection, and analytics.

No—Korbit works with your existing pull request workflow and version control setup.

Bugs, style violations, security vulnerabilities, policy violations, maintainability issues, performance bottlenecks.

Korbit claims that code submitted in PRs is never used to train their models.

Dashboards for code health, vulnerability alerts, root-cause analyses, sprint or PR summaries, contribution trends.

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