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Augment Code

AI coding assistant built for large, real-world codebases — a Context Engine that indexes the whole repo, with agents, chat, and completions in IDEs and a CLI.

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Updated Jun 24, 2026
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Augment Code is an AI coding assistant built for large, real-world codebases. Its Context Engine indexes the whole repo so agents, chat, and completions reason over your actual architecture rather than a few open files. It runs in VS Code and JetBrains IDEs and as the Auggie CLI. Proprietary, with a free trial and paid plans.

Augment Code is an AI coding assistant built for large, real-world codebases. Its defining feature is a Context Engine that indexes the whole repository — across many files and even multiple repos — so the model reasons over your actual architecture, call relationships, and conventions rather than just the files you happen to have open.

It is aimed at engineers working on big, established repos where generic completions lose the thread. Augment surfaces its agents, chat, and completions inside VS Code and JetBrains IDEs and through the Auggie CLI, so it fits an AI-assisted workflow whether you stay in your editor or drive tasks from the terminal.

Highlights

  • Whole-repo Context Engine — indexes large, multi-repo codebases and retrieves the slice a task actually touches, so answers and edits are grounded in your real architecture.
  • Agents for multi-step tasks — agents can plan and carry out changes across files, with related products for automated code review and a CLI-driven workflow.
  • IDE extensions and a CLI — runs as extensions for VS Code and JetBrains, plus the Auggie CLI that brings the agent and Context Engine into the terminal.
  • Codebase-aware chat and completions — chat and inline completions draw on the indexed repo, so suggestions follow existing patterns instead of inventing new ones.

In an AI-assisted workflow

Augment fits alongside your existing setup: install the IDE extension or the CLI, let it index the repo once, then ask it to explain, change, or complete code with full-codebase context. For more on how it sits next to other assistants, see Cursor vs. Claude Code vs. Copilot vs. Windsurf (2026).

# Install the Auggie CLI and run it in a repo (verify current command on the docs)
npm install -g @augmentcode/auggie
auggie

TIP

The value of a context engine shows up most on large, unfamiliar repos — point it at a service you don't fully know and ask how a change ripples through callers before you start editing.

Good to know

Augment Code is proprietary, not open source. It offers a one-time free trial and paid plans that have spanned individual, team, and enterprise tiers on credit-based usage; Augment has revised its plans and positioning over time, and has signaled changes to how its IDE extensions versus CLI are packaged, so confirm current plans, any free option, and supported surfaces on the official site before committing. For a broader comparison of in-editor assistants, see GitHub Copilot vs. Cursor.

Frequently asked questions

What is Augment Code?
Augment Code is an AI coding assistant built for large, real-world codebases. Its Context Engine indexes an entire repository — across many files and repos — so its agents, chat, and completions reason over your actual architecture, call relationships, and conventions instead of just the files you have open. It is available as IDE extensions for VS Code and JetBrains and as the Auggie CLI.
How much does Augment Code cost?
Augment Code is proprietary. It offers a one-time free trial (a starting credit pool) and paid plans that have ranged from an individual tier up to team and enterprise plans, billed on credit-based usage. Augment has revised its plans over time, so confirm current tiers, any free option, and limits on the official pricing page before relying on them.
How does Augment Code compare to GitHub Copilot or Cursor?
All three offer in-editor AI completions, chat, and agents. Augment Code's emphasis is whole-repository context: its Context Engine indexes large, multi-repo codebases so the model grounds answers in your real architecture, which is its main pitch versus Copilot and Cursor. Copilot is the broadly integrated default across editors and GitHub; Cursor is a standalone AI-first editor. The right fit depends on codebase size, your editor, and pricing.

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