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.

Visit website
You pay

$20/mo

$240/yr

Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$50/mo8 h/mo upkeep

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

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 is—cheaper 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