fabro/docs/getting-started/introduction.mdx
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-16 12:24:58 -04:00

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---
title: "Introduction"
description: "Fabro is the open source dark software factory for small teams of expert engineers"
---
Fabro replaces the prompt-wait-review loop with version-controlled workflow graphs that orchestrate AI agents, shell commands, and human decisions into repeatable, long-horizon coding processes.
<img src="/images/runs-board.png" alt="Fabro Runs board showing workflows across Working, Pending, Verify, and Merge stages" />
## Use cases
- **Extend disengagement time** — Stop babysitting an agent REPL. Define a workflow with verification gates and walk away — Fabro keeps the process on track without you.
- **Leverage ensemble intelligence** — Seamlessly combine models from different vendors. Use one model to implement, another to cross-critique, and a third to summarize — all in a single workflow.
- **Share best practices across your team** — Collaborate on version-controlled workflows that encode your software processes as code. Review, iterate, and reuse them like any other source file.
- **Reduce token bills** — Route cheap tasks to fast, inexpensive models and reserve frontier models for the steps that need them. CSS-like stylesheets make this a one-line change.
- **Improve agent security** — Run agents in cloud sandboxes with full network and filesystem isolation. Keep untrusted code off your laptop and out of your production environment.
- **Run agents 24/7 at scale** — Fabro's API server queues and executes runs continuously in cloud sandboxes. Close your laptop — workflows keep running across as many concurrent runs as your infrastructure allows.
- **Guarantee code quality** — Layer deterministic verifications — test suites, linters, type checkers, LLM-as-judge — into your workflow graph. Failures trigger fix loops automatically.
- **Achieve compounding engineering** — Automatic retrospectives after every run feed a continuous improvement loop. Your workflows get better over time, not just your code.
- **Specify in natural language** — Define requirements as natural-language specs and let Fabro generate — and regenerate — implementations that conform to them.
<Columns cols={2}>
<Card
title="Why Fabro?"
icon="lightbulb"
href="/getting-started/why-fabro"
>
The problems Fabro solves for AI-assisted software teams.
</Card>
<Card
title="Quick Start"
icon="rocket"
href="/getting-started/quick-start"
>
Install Fabro and run your first workflow in minutes.
</Card>
<Card
title="Workflows"
icon="diagram-project"
href="/core-concepts/workflows"
>
Learn how workflow graphs orchestrate agents, commands, and human gates.
</Card>
<Card
title="Agents"
icon="robot"
href="/core-concepts/agents"
>
Understand how Fabro configures and runs LLM agents within workflows.
</Card>
</Columns>