Augment Code

Code Assistant · Paid

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.

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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.

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.

Use cases

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.