Augment Code

Ship production code faster with whole-codebase agents.

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About 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.

Augment Code

United States

Headquarters: United States

Key features

Context Engine
IDE Agents (VS Code & JetBrains)
Intent Workspace
Auggie CLI & Slack Integration
High quality context
Multi surface coverage
Serious code review

Use cases

Mid-sized product engineering teams shipping features across large monorepos
Enterprise engineering organizations relying on the Context Engine and security features for regulated environments
High growth startups adopting agents plus Intent to offload implementation work while founders and leads focus on product decisions

Pros

Continuously indexes entire codebases, dependencies, and documentation to provide project-level context for AI agents
Supports multi-step workflows and persistent memories across IDEs, terminal, and a dedicated Mac workspace
Enables agentic loops for repetitive SDLC tasks like code review, ticket-to-PR, and vulnerability remediation
Provides reusable expert templates for different stages of the software development lifecycle
Offers managed cloud sandboxes and on-premises execution options for security and compliance

Cons

May require initial setup and configuration to align agents with team workflows
Dependent on the quality and completeness of indexed codebase context
Potential learning curve for teams transitioning from traditional development practices

Frequently asked questions about Augment Code

What is Augment Code and who is it designed for?

Augment Code is an agentic software development platform designed for engineering teams to automate repetitive parts of the software development lifecycle. It is aimed at professional teams shipping production code, enabling AI agents to handle tasks such as code review, testing, incident response, and vulnerability remediation.

How does Augment Code work with existing development tools?

Augment Code integrates natively with tools like GitHub, GitLab, Slack, Linear, and Jira, as well as CI systems. It can trigger workflows from these platforms and run agents in managed cloud sandboxes, on-premises machines, or local development environments.

What is the Context Engine in Augment Code?

The Context Engine continuously indexes repositories, libraries, documentation, issues, and recent changes to provide agents with a live, project-level understanding of the codebase. This enables agents to act with awareness beyond individual files.

Can Augment Code be used for code review automation?

Yes, Augment Code automates code review by providing substantive first-pass reviews within minutes. It uses agents to handle line-by-line diffs, architecture, and intent, reducing the time to merge pull requests.

What is the role of humans in Augment Code's workflows?

Humans are involved at key checkpoints in the workflows, such as approving consequential actions, reviewing agent outputs, and making final decisions. This ensures oversight while allowing agents to handle repetitive tasks.

How does Augment Code handle security and compliance?

Augment Code supports running agents in isolated sandboxes, including on-premises environments, to ensure code and data remain secure. It also provides shared memory and knowledge across teams while maintaining tenant and user-level isolation.