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Evals for Cognition

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

Code Assistant
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About Cognition

Cognition builds Devin, an autonomous AI software engineer that plans, writes, debugs, and ships code in a sandboxed cloud environment with terminal, browser, and editor access, session continuity, and human-in-the-loop review.

Employees

~200

Industry

Autonomous Coding Agent

Headquarters

San Francisco, CA

Available eval packs for Cognition

8 packs ready to run.

Why eval Cognition AI

Cognition'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 Cognition 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 Cognition's public product surface and runnable in Corsac with your own data.