Factory

Factory is an agent-native software development platform built around Droid agents. The homepage positions it as “Agent-Native Software Development,” and the pricing page describes “complete software development agents for individuals.” In practical terms, Factory sits in the same strategic category as Devin and newer IDE agents: it is for engineering teams that want AI to take on real coding tasks, not just suggest the next line. The homepage also shows a CLI-style entry point, which signals that Factory expects developer users who are comfortable connecting repos, running commands, and supervising generated changes.

Pricing is more transparent than many enterprise AI coding products. The fetched pricing page shows Pro at $20/month. It also references higher individual capacity tiers, including a Plus-style tier around $100/month and Max at $200/month, with expanded rolling rate limits and roughly 10x the usage of Pro on the higher plan. Teams is listed for growing teams that need tailored plans, multiple team members up to 150 seats, custom usage limits, dedicated onboarding and support, Single Sign-On, SAML/SCIM provisioning, and Zero Data Retention. Enterprise buyers should still confirm current plan names, usage units, and security terms with Factory, because agent usage can change quickly.

Factory’s best use case is delegated engineering work with tight scope. Examples include implementing a small feature, fixing a bug with clear reproduction steps, updating tests, migrating a pattern across files, or creating a first-pass pull request. It should be compared with /tools/devin for autonomous ticket execution, /tools/cursor and /tools/windsurf for IDE-centered development, and /tools/github-copilot-agents for GitHub-native workflows. The right choice depends on where your team wants the agent to live: in the editor, in the repo workflow, or as a separate delegated worker.

The main risk is the same as with all coding agents: plausible code is not the same as correct code. Factory can accelerate implementation, but teams still need code review, automated tests, CI, dependency checks, and security review. Agent output should go through normal pull-request discipline, especially when touching authentication, billing, infrastructure, migrations, or customer data.

Factory is most compelling for teams that already know how to break work into agent-sized tickets. If your backlog is vague, your tests are weak, or your repo is hard for humans to understand, an agent will struggle too. Start with low-risk chores, measure merge rate and review burden, and only then expand to larger tasks.

For evaluation, avoid vague prompts like “improve onboarding.” Instead, give Factory a ticket with a failing test, expected files, acceptance criteria, and a rollback path. Measure whether the Droid produces a reviewable pull request, how many comments reviewers leave, and whether CI passes without manual rescue. That evidence is more valuable than a polished demo because it shows whether agents fit your real repository and engineering standards.