What is Matter AI?
Matter AI is an intelligent pull request assistant designed to streamline code reviews, enhance collaboration, and improve code quality using AI. It automatically generates detailed PR summaries, detects performance, security, and bug-related issues in code, and helps reviewers understand complex changes faster with AI-powered explanations. By integrating seamlessly into your workflow, Matter AI reduces review time, prevents costly errors, and ensures a smoother development process — so your team can focus on building, not battling PR bottlenecks.
Here’s a product walkthrough (5 mins):
Features
✨ Instant PR Summaries
Matter AI automatically analyzes your pull requests and generates comprehensive summaries that highlight key changes, potential issues, and areas needing attention, all presented in an easy-to-scan checklist format that helps reviewers quickly understand what’s changed and what requires closer inspection—saving valuable review time and ensuring important details aren’t overlooked.
AI Summary is always free to use
🔍 Smart Code Reviews
Matter AI’s smart code reviews use advanced AI to automatically analyze your code changes, identifying potential bugs, security vulnerabilities, performance issues, and architectural concerns that might otherwise be missed during manual reviews—all while providing contextual explanations and suggesting improvements that help your team maintain high-quality standards and catch critical issues before they reach production.
⚡ Faster, Smarter Reviewing
Matter AI accelerates the review process by providing instant AI-powered explanations for complex code changes, allowing reviewers to quickly understand intent and implementation details without deep manual investigation. This feature reduces context-switching time, enables more thoughtful feedback, and helps teams maintain velocity while ensuring code quality—making reviews up to 5x faster and more thorough than traditional approaches.
💡 Team-level Analytics and Insights
Matter AI provides comprehensive team-level analytics and insights that help engineering leaders track review performance, identify bottlenecks, and understand team productivity patterns—enabling data-driven decisions about code quality, review efficiency, and developer workflows through intuitive dashboards that visualize key metrics like review times, feedback patterns, and issue detection rates across projects and team members.