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28884ae093
- Rename 20 crate directories lib/crates/arc-* → fabro-* - Update all Cargo.toml: crate names, dep paths, feature flags, bin name - Rename arc_server module → fabro_server in fabro-llm - ArcError → FabroError across 30+ files - ARC_VERSION/ARC_GIT_SHA/ARC_BUILD_DATE → FABRO_* constants - All use/qualified paths: arc_agent:: → fabro_agent::, etc. (~1500 occurrences) - Env vars ARC_* → FABRO_* in string literals and shell scripts - String literals: X-Arc-Demo, arc-bot, arc@local, arc-web, arc-mcp, etc. - Path strings: .arc/ → .fabro/, arc.toml → fabro.toml, refs/arc/ → refs/fabro/ - arc-api.yaml → fabro-api.yaml (OpenAPI spec) - skills/arc-create-workflow → fabro-create-workflow - trycmd fixtures: $ arc → $ fabro - Inline snapshots (insta) updated - CI, Docker, install.sh, scripts, CLAUDE.md, AGENTS.md - TypeScript app: env vars, headers, JWT issuer - Docs: page slugs, git refs, config paths, sandbox names, repo URLs - Repo references: brynary/arc → fabro-sh/fabro Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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 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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