143 docs

143.dev docs

Guides and reference for setting up 143, running coding-agent sessions, and operating self-hosted deployments.

143 runs coding-agent work as a team workflow. A request becomes a visible session, the agent works in a sandbox, reviewers inspect the diff and preview, and GitHub stays the source of truth for review, CI, and merge rules.

Issue, API call, or manual prompt
143 session
Sandboxed agent run
Diff, validation, and preview
GitHub pull request
143 owns the workflow around the agent. GitHub owns branch protection, review, CI, and merge.
143 session showing a completed coding-agent run, PR health, changed files, and review result
A session keeps the prompt, transcript, changed files, preview, PR state, and review context in one place.

Start with the shortest path to a reviewable change. Add repo configuration, previews, integrations, automation, and self-hosting only when those details become relevant.

Good first path

  • Connect GitHub: give 143 access to the repositories it can work in.
  • Start a session: choose a repo, branch, coding agent, and clear task.
  • Review and ship: inspect the transcript, diff, validation output, preview, and PR before merging.

Build toward production use

  • Repo config: define setup, validation, and preview behavior in .143/config.json.
  • Preview environments: run live UI and full-stack previews from a session.
  • Linear agent: assign or mention @143 in Linear and keep progress tied to the issue.
  • Slack agent: mention @143, DM the bot, or start from Slack App Home and keep progress tied to the conversation.
  • Autopilot: let eligible work run automatically behind visible gates.
  • Coding-agent auth: configure user and organization credentials outside prompts and repo files.
  • External API: start sessions and automations from internal systems using scoped service-account tokens.
  • Self-hosting quickstart: bring up a production-shaped single-node instance.
  • Production deployment checklist: verify a self-hosted deployment before sending real work to agents.

For AI agents

Agents should prefer the raw Markdown version of a page when ingesting these docs. Every public page is available as a normal docs URL and as a raw Markdown URL ending in .md.

For agents

Use /llms.txt as the machine-readable entrypoint. It lists canonical page URLs, raw Markdown URLs, and short summaries.

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