Augment Code

Categories: Coding & Developer Tools, Automation / Agents | Pricing: Freemium | Official Website ↗

Augment Code provides AI agents that understand entire codebases to assist with software development, code review, and developer workflows.

Augment Code is a software agent company that offers an AI-powered platform designed to enhance software development workflows. Its core technology, the Context Engine, maintains a live understanding of an entire software stack, including code, dependencies, architecture, and history, to provide high-quality AI assistance. The platform integrates AI agents into various developer environments, from IDEs to the command line, aiming to improve code correctness, completeness, and adherence to best practices. The platform includes several key products: Cosmos, an operating system for agentic software that coordinates humans, agents, code, and tools; Intent, a developer workspace for coordinated agents and living specifications; and Augment CLI, for AI-powered coding directly in the terminal. It also features IDE Agents for generating superior code and Augment Code Review, an AI code reviewer that provides inline comments and one-click fixes in the IDE, leveraging deep contextual understanding to catch critical bugs.

Key Features

Context Engine for codebase understanding
Cosmos engineering OS for agent coordination
Intent developer workspace with coordinated agents
Augment CLI for terminal-based AI coding
IDE Agents for code generation
AI-powered Code Review with inline comments
Automatic memories across sessions
Task lists for multi-step work

Pros

Deep contextual understanding of entire codebases
Outperforms human agents in correctness, completeness, and code reuse in blind studies
Integrates into existing developer tools and workflows (IDE, CLI, GitHub)
Provides high-precision and recall in AI code reviews
Offers isolated environments for building with agents

Cons

Credit-based pricing can be complex to estimate usage
No explicit free trial mentioned for paid plans
Requires installation and integration into existing development environments
Pricing scales per developer for team plans, potentially increasing costs for larger teams
No AI training allowed on user code, which might limit custom model fine-tuning

Use Cases

Automated code generation and completion
Intelligent code review and bug detection
Coordinating development tasks with AI agents
Maintaining codebase consistency and best practices
Accelerating software delivery cycles

Best For

Software engineering teams
Individual developers
Enterprises with large codebases
Teams focused on code quality and efficiency

Integrations: GitHub, VS Code, JetBrains, Slack

Platforms: Web, macOS, Windows, Linux, VS Code Extension, JetBrains Extension, Chrome Extension

Watch demo on YouTube ↗

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