Augment Code

Augment Code helps engineering teams build software with AI agents that understand entire codebases. Its Context Engine keeps a live view of code, dependencies, documentation, issues, and recent changes, then feeds that into agents across IDEs, the terminal, a Mac desktop workspace called Intent, and GitHub code review. The result is AI support that behaves more like a senior teammate than an autocomplete toy, aimed squarely at professional teams shipping production code.

Key Features

• Context Engine: Continuously indexes repositories, libraries, docs, and history so agents act with project level awareness instead of file level guessing.
• IDE Agents (VS Code & JetBrains): Turn natural language tasks into edits and pull requests with task lists, multi step workflows, and persistent memories.
• Intent Workspace: Mac desktop app that coordinates multiple agents around a living spec, keeping implementation aligned with requirements in isolated, reproducible workspaces.
• Auggie CLI & Slack Integration: Terminal first and chat based agents that share the same context, ideal for shell driven workflows and lightweight collaboration.

Pros

• High quality context: Strong code reuse and architecture awareness compared to typical coding assistants.
• Multi surface coverage: Works in IDEs, CLI, Slack, and GitHub reviews, all sharing the same understanding of the codebase.
• Serious code review: Context aware review bot that catches subtle bugs and style mismatches with one click fixes in the IDE.
• Team friendly usage model: Credit pools at the team level and support for bring your own agent providers in Intent.

Cons

• Pricing tiered for pros: Costs more than basic chat based coding helpers, especially at higher usage.
• Platform limits for Intent: The Intent desktop workspace is currently focused on macOS, not Windows or Linux.
• Learning curve: Spec driven, multi agent workflows can feel unfamiliar to teams used only to inline autocomplete.

Who Uses It

• Mid sized product engineering teams: Using it to ship features across large TypeScript, JavaScript, Java, or Python monorepos.
• Enterprise engineering organizations: Relying on the Context Engine and security features for regulated environments and large, multi repo estates.
• High growth startups: Adopting agents plus Intent to offload implementation work while founders and leads focus on product decisions.
• Senior individual developers and indie hackers: Using the Indie plan to get production ready help without standing up a large platform.
• Uncommon Use Cases: Used by research groups studying agentic software development; adopted by boutique consultancies to standardize AI assisted code review across client projects.

Pricing

• Indie: $20 per month; includes 40,000 credits, Context Engine, MCP and native tools, SOC 2 Type II, auto top-up credits, and no AI training on your data.
• Standard: $60 per month per developer; includes everything in Indie, plus 130,000 credits.
• Max: $200 per month per developer; includes everything in Standard, plus 450,000 credits.
• Enterprise: Custom pricing; custom credit limits, Slack integration, annual volume discounts, SSO/OIDC/SCIM, SOC 2 and security reports, dedicated support, and no AI training on your data.