Augment Code

Augment Code is an AI coding assistant built around deep codebase context. It indexes an entire repository, up to hundreds of thousands of files, before generating completions or chat responses, so its answers reflect the patterns, internal APIs, and conventions a team already uses rather than generic suggestions pulled from an open file or a handful of grepped snippets. It runs as a plugin in VS Code and JetBrains, integrates with editors like Zed, Neovim, and Emacs through the Agent Client Protocol, and ships an Auggie CLI for terminal and CI/CD use, along with GitHub Actions for automated pull request review.

Beyond autocomplete and chat, Augment has grown into an agentic platform: it can plan and execute multi-step coding tasks, coordinate specialist agents against a shared task spec, and work inside isolated workspaces for parallel execution. It supports bring-your-own-key model access, letting teams pick between Claude, GPT-4, or other models while keeping enterprise security and access controls in place. The target user is a developer or team working in a large, established codebase (monorepos, legacy systems, microservices) where context about existing code matters more than raw generation speed.

What distinguishes it from many competitors is that this codebase-wide context engine is the product's foundation rather than a bolt-on feature, and its enterprise focus (security controls, CI integration, code review automation) points it more at engineering teams than individual hobbyist coders.