Augment Code

Video Review

About

Augment Code is an AI-powered software development platform built around a proprietary Context Engine that maintains a live semantic understanding of your entire codebase, including dependencies, architecture patterns, and git history. Unlike competitors that rely solely on foundation models with limited context windows, Augment indexes your full repository so its agents produce code that actually follows your project conventions and reuses existing abstractions instead of reinventing them. The platform works across VS Code, JetBrains IDEs, and a standalone CLI, with agents capable of handling multi-file refactoring, automated code review via inline GitHub comments, and coordinated task orchestration through its Intent workspace. Augment ranked first on the SWE-Bench Pro Leaderboard at 51.80% and outperformed human developers on 500 Elasticsearch pull requests across correctness, completeness, and code reuse metrics. The company raised $252 million from investors including Index Ventures, Lightspeed, and Eric Schmidt's Innovation Endeavors, reaching a near-unicorn valuation of $977 million. Pricing starts at $20 per month for individual developers with 40,000 credits, scaling to $60 per developer for teams with pooled credits and the full agent suite. The credit-based model replaced earlier message-based pricing in late 2025. Initial codebase indexing can take two to four hours on very large projects, and IDE support is currently limited to VS Code and JetBrains, so Neovim and Emacs users are out of luck. The code review feature achieves 65% precision, meaning roughly two out of three comments surface genuine issues rather than style nits. Augment holds SOC 2 Type II certification and is the first AI coding assistant with ISO/IEC 42001 compliance, making it a strong pick for enterprise teams with strict security requirements.

Key Features

• Proprietary Context Engine with live semantic understanding of full codebases
• IDE agents with task lists and automatic session memories
• CLI tool for terminal-based AI coding workflows
• Automated code review with inline GitHub PR comments
• Intent workspace for coordinated multi-agent orchestration
• Model Context Protocol (MCP) support for external tool integration
• Credit-based pooled usage across teams
• SOC 2 Type II and ISO/IEC 42001 compliance
• VS Code and JetBrains IDE extensions
• Slack integration for team notifications

Use Cases

• 1Large-scale codebase refactoring across multiple files
• 2Automated pull request review for engineering teams
• 3Onboarding new developers to complex existing codebases
• 4Enterprise software development with strict compliance requirements
• 5Terminal-based AI-assisted coding via CLI
• 6Coordinating multiple coding agents on parallel tasks