Augment Code is an AI coding assistant built for professional software development that uses a proprietary Context Engine to maintain a live understanding of your entire stack, including code, dependencies, architecture, and git history. It solves the problem of AI assistants producing shallow or inaccurate suggestions by building and continuously updating a comprehensive model of your codebase, enabling it to reason about cross-file relationships, architectural patterns, and historical changes. Augment Code achieved a record-breaking SWE-bench score and demonstrated a 70 percent win rate over GitHub Copilot in head-to-head evaluations.
Augment Code's Agent can plan, create files, and implement complete features with a 200,000-token context window, achieving 89 percent accuracy on multi-file refactoring tasks. It includes a Memories feature that learns from developer interactions to better align with individual coding styles and preferences over time, context-powered code reviews that catch critical bugs without generating noise, and real-time synchronization of code understanding across team members. Augment Code was the first AI coding assistant to achieve ISO/IEC 42001 certification for international AI management system standards, and it never trains on customer code.
Augment Code is designed for professional developers and enterprise engineering teams working on large, complex codebases where context depth is the difference between useful and useless AI suggestions. It is available for VS Code with early preview access for JetBrains IDEs, and provides strong legal indemnification alongside enterprise-grade security features including proof of possession enforcement. Compared to GitHub Copilot and Cursor, Augment Code positions itself as the choice for teams that need an AI assistant capable of understanding and reasoning about production-scale software systems.
