> ## Documentation Index > Fetch the complete documentation index at: https://docs.fabro.sh/llms.txt > Use this file to discover all available pages before exploring further. # Introduction > 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. 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. * **Inspect every run** — Query durable event streams, checkpoints, conclusions, and stage outputs to understand what happened and improve the workflow. * **Specify in natural language** — Define requirements as natural-language specs and let Fabro generate — and regenerate — implementations that conform to them. The problems Fabro solves for AI-assisted software teams. Install Fabro and run your first workflow in minutes. Learn how workflow graphs orchestrate agents, commands, and human gates. Understand how Fabro configures and runs LLM agents within workflows.