> ## Documentation Index
> Fetch the complete documentation index at: https://docs.auto.sh/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> The platform for programming software factories.

Auto is a cloud agent platform that lets you build teams of agents doing useful, asynchronous, and proactive work for you.

* 🔧 **Configure** an org chart of agents using simple YAML files in a `.auto/` directory alongside your codebase
* 🎼 **Compose** agents and triggers into automations that can be triggered by events from your workspaces (Slack/Github) or your production systems (Datadog/PagerDuty/etc.)
* 🚀 **Deploy** them serverlessly on git merge into sandboxes with lift-and-shift parity to your local development environment
* 🏎️ **Steer** and monitor them across Slack, GitHub, and the Auto dashboard

Powered by the same harnesses you use to build your software locally — like Claude Code, Codex, and more.

## What teams build with it

You can use auto to build simple (but effective) automations:

* **[Issue triage](/examples/issue-triage)** — label- and mention-driven agents that classify, reproduce, and route incoming issues.
* **[Incident response](/examples/incident-response)** — webhook-woken responders that investigate alerts, coordinate in a war-room thread, and draft fixes.
* **[Code review](/examples/code-review)** — a reviewer on every PR with ranked findings, a managed check, and re-reviews folded into the same session on push.

You can also use auto to push the frontier of agentic labor:

* **[Agent fleets](/examples/agent-fleet)** — a chief-of-staff in Slack with memory dispatches dozens of parallel workstreams, shepherds every PR to green, unblocks stalled work, and loops you in only when your call is required.
* **[Autoresearch](/examples/research-loop)** and **[self-improvement](/examples/self-improvement)** — multi-agent loops that test hypotheses on a fleet, or propose improvements to the app and `.auto/` itself.
* **[Lead engine](/examples/lead-engine)** — leads arrive by webhook; the agent researches, scores, drafts outreach, and posts to Slack for human approval.

Any operational workflow you can dream up is in principle possible to encode in an "org chart" of agents in auto.

## Start here

<CardGroup cols={3}>
  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Go from zero to a fully deployed agentic workforce in under 15 minutes
  </Card>

  <Card title="Concepts" icon="lightbulb" href="/concepts/resource-model">
    Understand the nuts and bolts of the Auto programming and runtime model.
  </Card>

  <Card title="Examples" icon="hammer" href="/examples/agent-fleet">
    Complete, working `.auto/` directories you can copy
  </Card>
</CardGroup>
