Developer tools decision

Factory

A competent developer can build a narrow agent-driven code-edit-and-PR workflow in ~30 hours and modest hosting/API cost, but reproducing Factory’s full product (managed compute, cross-platform native apps, enterprise controls, and on‑prem/air‑gapped deployments) is out of scope for a quick self-build.

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Subscription$20/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $50
Evidence2/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Factory alternatives, with the arithmetic →

What a replacement has to do

  • Generate code changes from natural-language instructions, preview diffs, apply changes to a git repo, and run basic tests/linting

What it still won’t have

  • Factory-managed cloud computers (remote Droid compute)
  • Cross-platform native desktop app and synchronized sessions across devices
  • Enterprise features: SSO, SAML/SCIM, audit logs, zero data retention options
  • On-prem / air-gapped deployment and vendor-provided dedicated inference pools
  • Agent-readiness programs, enterprise support, and readiness dashboard

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 3 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal agent-native dev tool using Node.js (or Python), a small React web UI and a CLI that: 1) accepts a natural-language task; 2) calls an external LLM API (configurable provider/key) to produce code edits; 3) computes and shows a git diff and preview of changed files; 4) commits changes on a feature branch and opens a PR via GitHub API; 5) runs configured linters/tests and reports results in the UI/CLI. Out of scope: distributed/managed compute, multi-device session sync, enterprise SSO/SAML, air-gapped/on-prem orchestration. Include input validation, error handling, retry logic for API calls, and automated tests for the core flows (LLM call mocking, diff generation, git operations).
How we checked5 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded