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Invert the docs convention so the Mintlify-published site lives under docs/public/ and internal artifacts (strategy docs, brainstorms, plans, etc.) sit at docs/ root or docs/internal/. Tools that default to writing into docs/ now land in the catch-all instead of leaking into the published tree. - Move Mintlify content (administration/, agents/, api-reference/, changelog/, core-concepts/, examples/, execution/, getting-started/, human-tools/, integrations/, languages/, reference/, tutorials/, workflows/, images/, logo/, docs.json, favicon.svg, dot-highlight.js) into docs/public/. - Collapse docs-internal/ into docs/internal/. - Update Rust path references (fabro-api/build.rs, fabro-server, fabro-dev), TypeScript generator arg, CI path filters, clippy.toml reasons, AGENTS.md/CLAUDE.md, and README.md image refs. Mintlify dashboard project root must be updated to docs/public/ in a follow-up. .mintignore move/trim and .claude/skills/ updates land in a separate commit.
51 lines
2.8 KiB
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51 lines
2.8 KiB
Text
---
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title: "Introduction"
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description: "Fabro is the open source dark software factory for small teams of expert engineers"
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---
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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.
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<img src="/images/runs-board.png" alt="Fabro Runs board showing workflows across Working, Pending, Verify, and Merge stages" />
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## Use cases
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- **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.
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- **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.
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- **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.
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- **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.
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- **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.
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- **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.
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- **Guarantee code quality** — Layer deterministic verifications — test suites, linters, type checkers, LLM-as-judge — into your workflow graph. Failures trigger fix loops automatically.
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- **Achieve compounding engineering** — Automatic retrospectives after every run feed a continuous improvement loop. Your workflows get better over time, not just your code.
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- **Specify in natural language** — Define requirements as natural-language specs and let Fabro generate — and regenerate — implementations that conform to them.
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<Columns cols={2}>
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<Card
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title="Why Fabro?"
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icon="lightbulb"
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href="/getting-started/why-fabro"
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>
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The problems Fabro solves for AI-assisted software teams.
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</Card>
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<Card
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title="Quick Start"
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icon="rocket"
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href="/getting-started/quick-start"
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>
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Install Fabro and run your first workflow in minutes.
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</Card>
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<Card
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title="Workflows"
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icon="diagram-project"
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href="/core-concepts/workflows"
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>
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Learn how workflow graphs orchestrate agents, commands, and human gates.
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</Card>
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<Card
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title="Agents"
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icon="robot"
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href="/core-concepts/agents"
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>
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Understand how Fabro configures and runs LLM agents within workflows.
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</Card>
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</Columns>
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