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Evals for Factory

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Factory AI products.

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About Factory

Factory is an agent-native software development platform. Its autonomous "Droids" plan, write, review, and migrate code and assist with incident response — grounded in a team's codebase, tickets, docs, and observability data — driven from a terminal CLI, the web app, and chat/ticket surfaces, with human-in-the-loop review and a choice of underlying models.

Employees

~50 [unverified]

Industry

AI Software Development (Autonomous Coding Agents)

Headquarters

San Francisco, CA [unverified]

Website

factory.ai

Available eval packs for Factory

8 packs ready to run.

Why eval Factory AI

Factory's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Factory measures four dimensions teams care about most when deploying code assistant agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Factory's public product surface and runnable in Corsac with your own data.