Augment Code

What is Augment Code?

Augment Code is an enterprise-grade AI development platform designed to accelerate software development for teams managing complex codebases. It features three core products: IDE Agents for AI-assisted coding in VS Code and JetBrains IDEs, a CLI tool (Auggie) for terminal-based development, and Augment Code Review for intelligent automated code reviews. The platform's proprietary Context Engine maintains a live understanding of your entire codebase—including code, dependencies, architecture, and history—enabling it to generate higher-quality code suggestions and reviews. Unlike generic AI coding tools, Augment agents are trained to understand architectural patterns, best practices, and project-specific conventions, resulting in code that requires less cleanup and matches production standards.

How to use Augment Code?

Install Augment Code as an extension in VS Code or JetBrains IDEs, or use the Auggie CLI from your terminal. Once installed, you can describe coding tasks using natural language prompts to have AI agents handle single or multi-step development work. The platform's Context Engine automatically analyzes your codebase to provide contextually relevant suggestions. For code review, integrate with GitHub to receive inline comments on pull requests with one-click fixes available in your IDE. Use the Coordinator feature in Intent mode to manage multiple agents working on coordinated tasks with living specification documents.

Augment Code's Core Features

• Context Engine that maintains live understanding of entire codebases including dependencies, architecture, and history for superior code generation

• IDE Agents for VS Code and JetBrains with task lists, automatic memory across sessions, and pull request generation

• Auggie CLI for AI-powered coding in terminals with personalized prompt suggestions and shell integration

• AI Code Review that detects bugs, security issues, and style violations with inline GitHub comments and one-click IDE fixes

• Intent Coordinator for managing multiple agents working on coordinated tasks with isolated environments and living specifications

• SWE-Bench Pro top performance at 51.80% accuracy, outperforming Claude Code and other leading AI coding assistants

• Support for large codebases up to 500K files with enterprise-grade context awareness across distributed systems

• ISO/IEC 42001 certified and SOC 2 Type II compliant for enterprise security and AI governance requirements

Augment Code's Use Cases

• #1

  Generate complex multi-file code changes for feature implementations while maintaining project architecture and patterns

• #2

  Accelerate code reviews by automatically detecting bugs, security issues, and style violations across pull requests

• #3

  Onboard new team members faster by having the AI explain legacy codebases and architectural patterns

• #4

  Refactor large monorepos or multi-repository projects while ensuring consistency across services

• #5

  Automate routine tasks like dependency management, test writing, and documentation generation

• #6

  Maintain code quality in distributed systems by catching cross-service integration issues before production