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Coding agents like Claude Code, Codex CLI, Gemini CLI, Cursor, Cline, Devin, Zed, etc. can use Autonomy documentation to ship complete autonomous applications.
  1. Follow the initial instructions to Get Started with Autonomy.
  2. Set up your favorite coding agent and give it the following prompt:
Use curl to fetch and read this doc and included links
on creating a new autonomy application:
https://autonomy.computer/docs/_for-coding-agents.md

Use the above documentation to create a new Autonomy that news editors
can use for fact checking news stories.

The workflow is:
- The editor pastes an article into a text box
- An agent then breaks the article into a set of claims
- Each claim is then assigned to a parallel fact checking agent
- Fact checking agents research the claim on the internet using
  the brave search MCP server
- All the research is given to a report generating agent that creates
  a final fact check report.

Keep the app limited to one autonomy node.
Also create a very simple web UI for the app using nextjs and shadcn/ui

Deploy and test the app in Autonomy

Before creating and deploying the app, create a README with an
architecture diagram of the app.
Your coding agent will:
  • Refer the Autonomy documentation to learn how to create, deploy, and debug Autonomy apps.
  • Create a README describing the architecture of the application.
  • Write Python code for claim extraction, fact-checking, and reporter agents.
  • Write code to create parallel fact-checking deep research agents.
  • Set up the Brave Search MCP server and create streaming APIs.
  • Build a Next.js user interface.
  • Deploy the application to the Autonomy Computer and test it.