General Purpose Languages

Frameworks and Technologies

Functional Languages

Scientific and Numerical Computing

Scripting Languages

Database Languages

Legacy and Specialized Languages

Emerging and Modern Languages

A comprehensive list of all programming languages supported by Matter AI

Supported Languages

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.

Matter AI | Code Reviewer Documentation

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.

What is Matter AI?

Learn how Matter AI helps in security analysis and fix

Security Analysis

Learn how Matter AI helps in code quality analysis and recommendations

Code Quality

Agentic Chat is a powerful feature that allows engineers to chat with their pull requests using Matter AI.

Agentic Chat

Rulesets are powerful configuration tools that allow teams to precisely define how they want Matter AI to perform code reviews. By customizing rulesets, teams can ensure that AI-powered reviews align perfectly with their specific standards, practices, and requirements.

RuleSets

Memories are an advanced AI learning feature that enables Matter AI to automatically adapt and improve its code review capabilities based on your teams interactions and feedback. Unlike static rulesets, Memories dynamically evolve over time, learning from pull request comments, discussions, and code patterns specific to your organization.

Memories

Matter AI provides comprehensive analytics that help engineering teams gain insights into their development processes, code quality, and team performance. These analytics are designed to improve productivity, code quality, and overall engineering efficiency.

Analytics

Command List

Configurations and AI Review settings for Matter AI

Configurations

Deploy Matter AI in your own infrastructure for enhanced security and control

Enterprise Deployment Overview

Configure Matter AI for your enterprise deployment features as per your organization

Enterprise Configurations

Configure Matter AI for your enterprise deployment observability and fallbacks to get AI usage analytics and fallbacks and 100% uptime.

Observability and Fallbacks

Set up a custom GitHub App to deploy Matter AI in your own environment

Create Your Own GitHub App

RBAC

Introduction

AI Code Reviewer that summarizes, analyzes and reviews your Pull Requests to detect issues, code smells and security vulnerabilities with fixes

AI Code Reviewer

AI Summary Generation to create perfect PR descriptions and auto-fill the PR checklist

Introduction

Getting Started

Product

Patterns

Integrations

Enterprise

Supported Languages

General Purpose Languages

Frameworks and Technologies

Functional Languages

Scientific and Numerical Computing

Scripting Languages

Database Languages

Legacy and Specialized Languages

Emerging and Modern Languages

Introduction

Getting Started

Product

Patterns

Integrations

Enterprise

​General Purpose Languages

​Frameworks and Technologies

​Functional Languages

​Scientific and Numerical Computing

​Scripting Languages

​Database Languages

​Legacy and Specialized Languages

​Emerging and Modern Languages

General Purpose Languages

Frameworks and Technologies

Functional Languages

Scientific and Numerical Computing

Scripting Languages

Database Languages

Legacy and Specialized Languages

Emerging and Modern Languages