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August 20, 2025

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Cursor Rules Support

MatterAI now supports using your existing Cursor rules to automatically generate AI code reviews. This allows you to leverage your existing rules and policies to ensure that AI-generated reviews align with your team’s coding standards and practices. Check Configurations to enable this feature.
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August 15, 2025

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Bugfix - AI Summary generation

Minor bugfix on AI Summary generation JSON formatting that in somecases caused undefined to show
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August 10, 2025

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Review Engine v6

The latest version of our AI code review engine is now available, featuring:
  • Improved Accuracy: Enhanced understanding of code context and structure.
  • Faster Processing: Optimized algorithms for quicker review generation.
  • Better Language Support: Expanded support for more programming languages and frameworks.
  • Enhanced Security Checks: More robust detection of security vulnerabilities and code smells.
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July 2025

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Integrations

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Gitlab Setup is GA

MatterAI seamlessly integrates with GitLab to enhance your development workflow!
Setting up MatterAI service account

Gitlab Integration

Get Started with Gitlab AI Code Reviews

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Atlassian Bitbucket Setup is GA

MatterAI seamlessly integrates with Atlassian Bitbucket to enhance your development workflow!
Setting up MatterAI service account

Bitbucket Integration

Get Started with Bitbucket AI Code Reviews

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New Features

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Similarity Search 🔍

Similarity Search automatically reviews new or modified function calls in pull requests, comparing them to existing repository definitions. It verifies alignment with the function’s contract (parameters, return value, side-effects). If a mismatch is found, it provides an inline suggestion detailing: The issue: What’s misused and why. The fix: Minimal code changes needed. The impact: Risks if the mismatch is deployed.

Similarity Search

Learn More about Similarity Search

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Auto Resolve Comments ✅

MatterAI automatically marks resolved issues in new commits with a ✅ Resolved comment, including a resolution reason. Benefits: Saves engineers time by eliminating manual comments and issue resolution. Validates fixes in new commits, exclusive to MatterAI-generated AI code reviews.

Auto Resolve Comments

Learn More about Auto Resolve Comments

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Slack Alerts 🔔

Get alerts on Slack channel when any PR is merged below your configured Code Quality threshold or with an unresolved security vulnerability!

Slack Alerts

Configure Slack Alerts

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Improvements

  • Stronger code reviews with our updated review engine
  • Updates to on-prem enterprise with better scaling and lite-reviews for cost savings
  • Bug fixes in summary generations and mermaid diagrams
  • Tanka poem in Summary: Similar to Haiku but expressing deeper emotions or nature themes.
These upgrades mean faster, sharper, and more efficient reviews, try it out and let us know what you think!
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June 2025

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New Features & Improvements

  • ✅ Similarity Search (GA): Now generally available with AST grep functionality (no AI required).
  • 🔍 Enhanced Code Reviews: Deeper analysis, better accuracy, and improved string literals handling.
  • 📝 Code Suggestion Formatting: Fixed edge-case issues.
  • 🤖 Vertex API Support: Added Service Account authentication.
  • ✨ Gemini Models: Updated to latest stable versions.

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Fixes & Tweaks

  • 🔧 GitHub New-Line Character Parsing: Fixed edge cases.
  • 📊 Updated PR Review & Summary Formats: Improved presentation and clarity.
  • 📈 Added LLM Cost/Usage Tracking Metrics: Better visibility into AI consumption.
  • 🐛 Command Pattern Recognition: Bug fixes for improved command detection.

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Enterprise AI Integration

  • Vertex AI Support: Native integration with Google’s Vertex AI platform for enhanced model capabilities.
  • Multi-Model Orchestration: Intelligent routing between different AI providers based on task requirements.

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Enterprise Security Enhancements

  • Role-Based Access Control: Granular permission management for teams of all sizes.

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LLM Cost Metrics

  • Token Usage: Tools to monitor and optimize token consumption.
  • Model Performance: Side-by-side comparison of different LLM providers.

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Review Engine Improvements

  • End Line Character Fixes: Intelligent handling of line ending inconsistencies in GitHub.
  • Committable Code Generation: Enhanced code suggestions that are ready to commit without manual fixes.
  • Reduced Verbosity: More concise code and text outputs without sacrificing clarity.

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Code Analysis Upgrades

  • Cross-Repository Analysis: Identify patterns and issues across multiple repositories.
  • Legacy Code Support: Improved analysis for older codebases and deprecated languages.

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Developer Workflow Integration

  • Keyboard Shortcut Customization: Personalize your Matter AI interaction experience.
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May 2025

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AI Summaries v2

  • Advanced Detail Summary: Comprehensive PR summaries with deeper context understanding
  • Structured Information: Automatically splits summaries into logical sections for better readability
  • Security Visualization: Tables for package vulnerabilities, CVEs, and detailed explanations

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AI Code Review Engine V2

  • Precise Code Suggestions: Deterministic commit positioning ensures feedback exactly where you need it
  • Duplicate Prevention: Smarter review intelligence avoids re-analyzing unchanged code sections
  • Cost Optimization: Auto-model swapping selects the best AI for each use-case, balancing performance and efficiency

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Command Improvements

  • /matter review: Reviews only new commits for faster and more efficient reviews
  • /matter review-full: Triggers a comprehensive re-review of the entire codebase when needed

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Agentic Chat

  • Code-Aware Conversations: Parses PR diffs, file context, and repo structure for relevant answers
  • Technical Explanations: Explains implementation decisions with precise technical details
  • Impact Analysis: Identifies potential side effects and integration points of code changes
For detailed release notes and API changes, please refer to our GitHub repository.
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April 2025

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AI Memories

  • Learning & Adaptation: Observes developer interactions to capture team preferences and coding styles
  • Pattern Recognition: Identifies recurring patterns in code reviews and discussions for better context
  • Contextual Understanding: Builds deeper understanding of your codebase and project architecture

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Continuous Improvement

  • Adaptive Reviews: Refines review approach based on team interactions and preferences
  • Team Alignment: Becomes increasingly aligned with team-specific needs and standards

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Knowledge Retention

  • Codebase Familiarity: Develops understanding of project-specific patterns and conventions