Cognition
Builds Devin, an autonomous AI software engineer, and the Windsurf IDE
Interview in a few hours? A quick sprint for Cognition
AI in interviews
No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.
Typical interview loop
How Cognition usually runs it for applied AI and LLM engineer roles.
- Focus: Motivation, intensity fit
Recruiter or hiring manager call
About 30 minutes on background, motivation and fit, including frank questions about working in person at a high pace.
- Focus: Learning fast, practical coding
Live coding screen
An hour of practical, pair-programming-style coding, often in an unfamiliar language or library using its documentation.
- Focus: Agent systems, judgment
Final round (in person)
Three to five sessions covering deeper coding, a systems design tied to the product (such as the environment an agent runs in), and a conversation about how you work.
- Focus: End-to-end building under time
Long build exercise (reported)
Press coverage of CEO Scott Wu's remarks describes an exercise where candidates rebuild a version of a Cognition AI product within about eight hours.
- Focus: Product use, customer communication
Product take-home (customer engineering roles)
For deployed and applied AI engineer tracks, a take-home done inside Devin followed by presentations and simulated customer conversations.
How it weights your plan
Selecting Cognition when you build a plan multiplies each topic’s priority score:
Official prep and resources
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