AI Code Reviews

Intelligent code analysis for every pull request

Automated Code Review

Every pull request receives an automatic AI review within seconds. Get quality scores, inline comments, and categorization to help maintain code quality and catch potential issues early.

Features

Quality Scores

Every PR receives a quality score (0-100) based on code complexity, best practices, test coverage indicators, and potential issues.

Inline Comments

With the GitHub App installed, AI reviews are posted directly as PR comments with specific suggestions and explanations.

Auto-Categorization

PRs are automatically categorized as Feature, Bugfix, Refactor, Documentation, or Chore based on content analysis.

Instant Analysis

Reviews are generated within seconds of PR creation or update, providing immediate feedback to developers.

Quality Score Tiers

Quality scores help you understand the overall health of a pull request at a glance. Scores are calculated based on multiple factors including code complexity, adherence to best practices, test coverage indicators, and potential issues.

Elite
85-100
High
70-84
Medium
55-69
Low
0-54

What AI Reviews Analyze

Code Complexity

Identifies overly complex functions and suggests simplifications

Best Practices

Checks for adherence to language-specific coding standards and patterns

Potential Issues

Highlights possible bugs, security concerns, and edge cases

Test Coverage

Evaluates whether changes include appropriate tests

Enabling Code Reviews

1

Add Your Repository

Connect your GitHub or BitBucket repository to Coderbuds. AI reviews are automatically enabled for all PRs.

2

Install GitHub App (Optional)

For inline PR comments, install the Coderbuds GitHub App. Reviews will be posted directly on your pull requests with line-specific feedback.

3

Configure Settings

Customize review settings in your repository configuration—choose whether to post comments automatically or review manually first.

AI Reviews Complement Human Review

AI reviews are designed to catch common issues and provide initial feedback quickly. They should complement, not replace, human code review. Always have a team member review important changes before merging.