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Last updated: May 16, 2025
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Overview
Korbit AI acts like an AI senior engineer, automatically reviewing pull requests. It detects a wide range of issues including critical bugs, performance optimizations, security vulnerabilities, and suggests improvements for readability and consistency. Korbit also generates comprehensive PR descriptions, provides interactive explanations for issues, and offers insights into project and team activity, all within the existing Git workflow.
Key Features
✦ Automated PR Code Reviews: Detects bugs, performance issues, security vulnerabilities, and style inconsistencies.
✦ Automatic PR Description Generation: Creates comprehensive descriptions for pull requests.
✦ Issue Resolution & Upskilling: Provides interactive explanations, advice, and suggestions to fix issues.
✦ Deep Project Context: Uses project context to find high-impact issues.
✦ Git Integration: Works seamlessly with GitHub, GitLab, and Bitbucket.
✦ Customizable Reviews: Allows tuning of issue categories and severity levels.
✦ Adaptive Learning: Learns from user feedback (thumbs up/down on issues) to tailor future reviews (can be toggled).
✦ Korbit Console: Management dashboard for visibility and insights.
Advantages
🟩 Faster Code Reviews: Significantly speeds up the PR review process.
🟩 Improved Code Quality: Helps catch bugs and vulnerabilities early.
🟩 Developer Upskilling: Provides explanations and suggestions, aiding developer learning.
🟩 Enhanced Team Productivity: Frees up senior developers from some review tasks.
🟩 Consistent Standards: Helps enforce coding best practices and consistency.
🟩 Actionable Insights: Offers visibility into project health and team performance.
Limitations
🟥 Not a Full Replacement for Human Review: Intended to augment, not completely replace, human oversight for complex logic or architectural decisions.
🟥 Initial Setup & Configuration: Requires integration with Git provider and potential customization.
🟥 Context Limitations: While using project context, AI might occasionally miss broader architectural implications.
🟥 Adaptive Learning Curve: The AI's adaptation based on feedback takes time to optimize.
🟥 Paid Seats for Full Use: Free tier is limited; unlimited reviews require paid seats per active git author.
Use Cases
➤ Automated Code Review: Identifying potential bugs, security flaws, and performance issues in pull requests.
➤ PR Management: Automatically generating descriptions for pull requests to improve clarity.
➤ Developer Onboarding & Training: Providing contextual feedback and learning opportunities for junior developers.
➤ Improving Code Quality & Consistency: Enforcing coding standards and best practices across teams.
➤ Securing Codebases: Proactively identifying and suggesting fixes for security vulnerabilities.
Pricing Details
⭘ Free Plan: Unlimited users and repositories, up to 5 PR code reviews and PR descriptions per month, Korbit Console access. (Korbit Pro is also free for all open source repositories).
⭘ Pro Plan (e.g., $9/user/month billed annually, or $12/user/month billed monthly): Includes everything in Free, plus unlimited PR code reviews and descriptions, Korbit AI chat on review comments, and dedicated support. Offers a 14-day free trial.
⭘ Enterprise Plan (Custom Pricing): Tailored solutions for larger organizations with specific needs for team size, project complexity, and support.
(Note: A "user" for pricing is a git author. Specifics can be confirmed on their website.)
Summary
Korbit AI is an AI-powered tool that automates code reviews within Git platforms, helping development teams improve code quality, speed up reviews, and upskill engineers.