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docs: add use cases section to README and Introduction

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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Bryan Helmkamp 2026-03-12 08:52:05 -04:00
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15
README.md
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@ -17,6 +17,21 @@ curl -fsSL https://fabro.sh/install.sh | bash
---
## Use Cases
- **Extend disengagement time** — Stop babysitting an agent REPL. Define a workflow with verification gates and walk away — Arc 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** — Arc's API server queues and executes runs continuously. Close your laptop — workflows keep running and results are waiting when you return.
- **Scale infinitely** — Move execution off your laptop and into cloud sandboxes. Run as many concurrent workflows 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 Arc generate — and regenerate — implementations that conform to them.
---
## Key Features
| | Feature | Description |

14
docs/getting-started/introduction.mdx
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@ -6,6 +6,20 @@ description: "Arc is the software factory for small teams of expert engineers"
Arc 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="Arc 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 — Arc 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** — Arc's API server queues and executes runs continuously. Close your laptop — workflows keep running and results are waiting when you return.
- **Scale infinitely** — Move execution off your laptop and into cloud sandboxes. Run as many concurrent workflows 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 Arc generate — and regenerate — implementations that conform to them.
<Columns cols={2}>
<Card
title="Why Arc?"