Augment Code

freemium

Augment Code's Context Engine powers AI agents that understand your full codebase, dependencies, and architecture. Build faster from IDE, CLI, and code review.

Coding & Development

AI Code Editors

AI Coding Agents

About

Augment Code is an enterprise-grade AI software development platform designed for engineering teams who demand more than generic code completions. At its core is the Context Engine — a continuously updated model of your entire stack including code, dependencies, architecture, and history — which powers every AI interaction with deep, project-specific awareness. The platform spans multiple developer surfaces: IDE agents that move from prompt to pull request, an AI-powered CLI (Auggie) for terminal-first engineers, and an automated code review agent that integrates with Slack. The flagship Intent workspace enables orchestrated multi-agent collaboration where a coordinator agent breaks down features into parallel tasks, agents work in isolated environments, and a living specification tracks progress in real time. Augment Code consistently ranks at the top of SWE-Bench Pro leaderboards and outperforms competing tools like Cursor and Claude Code in blind studies comparing agent-generated pull requests to human-written merged code, particularly on code reuse, completeness, and correctness. Remote Agents and MCP support extend its capabilities further for automation pipelines. Augment is built for professional engineering teams at startups and enterprises who want AI agents that truly understand their codebase rather than hallucinating patterns from training data. It integrates with existing developer workflows without requiring teams to change how they work.

Key Features

Context Engine: Maintains a live, continuously updated understanding of your entire codebase, dependencies, architecture, and history — giving every AI action deep, project-specific awareness.
Intent Multi-Agent Workspace: A macOS developer workspace where a coordinator agent breaks features into parallel tasks, agents operate in isolated environments, and a living spec tracks progress automatically.
AI-Powered CLI (Auggie): Full terminal integration for engineers who prefer the command line, powered by the same Context Engine and agents as the IDE — no GUI required.
Automated Code Review: AI agent that reviews pull requests with deep codebase context, integrating directly into Slack and developer workflows to surface issues before merge.
Remote Agents & MCP Support: Run agents remotely for background automation tasks and connect external tools via the Model Context Protocol to extend agent capabilities.

Use Cases

Engineering teams implementing new features end-to-end using coordinated AI agents that understand existing patterns and architecture
Developers automating code review to catch regressions, style violations, and deviations from project conventions before pull requests are merged
Terminal-first engineers using the Auggie CLI to get AI-powered coding assistance without leaving their command-line workflow
Software teams using Intent to parallelize complex feature work across multiple isolated AI agents with a shared living specification
Enterprises standardizing AI-assisted development across large, multi-contributor codebases where context quality and code reuse are critical

Pros

Industry-leading context quality: The Context Engine's live codebase understanding produces significantly better code reuse, completeness, and adherence to project conventions compared to competitors.
Top SWE-Bench performance: Ranked #1 on SWE-Bench Pro with 51.80%, outperforming Cursor, Claude Code, and Codex in blind evaluations against real human-written code.
Works across the entire developer workflow: Single platform covering IDE, CLI, code review, and multi-agent orchestration — no need to stitch together separate tools.
Coordinated multi-agent execution: Intent's coordinator agent intelligently parallelizes work across specialized agents, reducing time-to-completion for complex features.

Cons

Enterprise pricing may be a barrier: The 'Talk to Sales' model and enterprise positioning suggests higher cost tiers that may be inaccessible for solo developers or small teams.
Requires codebase indexing setup: The Context Engine's full power depends on ingesting and indexing your repository, which requires initial setup and may raise data privacy considerations.
Intent workspace is macOS only: The flagship Intent multi-agent workspace is currently limited to macOS desktop, restricting access for Windows or Linux developers.

Frequently Asked Questions

Augment Code's key differentiator is its Context Engine, which maintains a live model of your entire codebase including architecture, dependencies, and history. In blind benchmark studies, Augment outperformed Cursor and Claude Code on correctness, code reuse, and completeness when generating pull requests.

The Context Engine is Augment's proprietary system that continuously indexes and understands your full codebase — not just the file you're editing. It tracks code patterns, naming conventions, existing utilities, and architectural decisions so AI agents produce code that fits naturally into your project.

Intent is Augment's multi-agent developer workspace for macOS. It features a coordinator agent that breaks features into parallel sub-tasks, assigns them to specialized agents, maintains a living specification document, and keeps each agent working in an isolated environment to prevent conflicts.

Yes. Auggie is Augment's AI-powered CLI that brings the same Context Engine and agent capabilities to the command line. It integrates with your shell and supports automation via 'auggie --print "your task"' for scripted workflows.

Yes. Augment was benchmarked on the Elasticsearch repository — a 3.6M line Java codebase with 2,187 contributors — and its agents outperformed competitors on real-world, large-scale code tasks. It is specifically designed for engineering teams working on complex, long-lived codebases.