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Augment Code

Product information, use cases, and access for Augment Code.

AI codingAI agentsCode assistantsGeneral agentsWorkflow automationSee official site
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VerifiedSeptember 7, 2026

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What is Augment Code?

Augment Code is an agentic software development platform for software delivery at organizational scale. Its official site presents Cosmos as a way to move work from specification to verification, using codebase context, reusable experts, and connected workflows rather than treating an agent as a one-off coding assistant. It is aimed at engineering organizations that need to coordinate recurring work across large projects and keep quality checkpoints in the delivery process.

Users describe the workflow they want in natural language, review the proposed plan, and approve the checkpoints that matter before consequential actions proceed. Cosmos connects stages such as triage, authoring, code review, and verification, and can start work from GitHub, GitLab, Slack, Linear, Jira, schedules, or typed webhooks. This makes it a fit for teams that want agents to handle repetitive parts of software delivery while engineers retain control over review and release decisions.

Key features of Augment Code

  • Codebase context engine

    The platform provides a context engine for understanding a codebase, allowing agents to work with project context and organization knowledge when handling software delivery tasks.

  • Reusable expert workflows

    Users can use shipped experts, choose from an expert library, fork an existing expert, or build their own, turning a defined judgment and workflow into a reusable unit.

  • End-to-end delivery stages

    Cosmos connects triage, authoring, code review, and verification, allowing agents to hand work between stages for software tasks that span from an initial ticket to reviewed results.

  • Triggers and human checkpoints

    The platform supports triggers from GitHub, GitLab, Slack, Linear, Jira, schedules, and typed webhooks, while work can pause for human review or approval when a quality checkpoint matters.