AI coding assistant built around deep indexing of large codebases
Augment Code targets teams working in big, long-lived repositories where context is the hard part. It indexes the whole codebase, including history and dependencies, and uses that index to answer questions and make edits with awareness of how the project actually fits together. An agent mode carries out multi-step tasks, and the assistant learns conventions from the code rather than only from instructions. It plugs into VS Code and JetBrains, supports MCP for external tools, and is sold mainly to professional teams rather than individual hobbyists.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
large codebases, enterprise teams, codebase questions, agentic refactors
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Context in large repositories. It indexes the codebase, its history and its dependencies so the assistant can reason about how parts actually connect, which matters far more in a big monorepo than in a small project.
Professional teams. There is a trial, but the paid plans are per-seat and aimed at organisations rather than individuals, so the cost is usually justified by a large codebase and a full-time team.
Lighter tools are fast for inline completion and small edits. Augment invests in indexing and repository-wide reasoning, which pays off on unfamiliar code where locating the right files is the hard part.
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