What to Expect in the Cognition System Design Interview

Expect design questions built from Cognition's real product problems, not textbook prompts. Public reports describe questions like designing the execution environment a coding agent runs inside. One question of that kind contains several sub problems: isolation, state, security, and cost. This guide lists the question types and then works through the signature one.

Why the Questions Look Like This

Cognition builds Devin, an AI agent that completes software tasks in its own cloud environment. Devin clones repositories, runs tests, opens pull requests, and checks its own work. The company also ships Windsurf, an AI code editor, and deploys Devin inside customer clouds. Every hard problem in that product line can become an interview question. The interviewer has usually solved the question personally, so shallow answers are exposed quickly.

The Question Types

  • Agent execution environments. Where agent code runs, how it is isolated, and how it is reset between tasks.
  • Long running task state. An agent may work for hours. Design checkpoints so a crash does not lose the work. A checkpoint is a saved snapshot of progress.
  • Secrets and permissions. Agents need credentials to be useful and limits to be safe. Design scoping so one mistake cannot reach other systems.
  • Model call cost and latency. Thousands of agents calling AI models gets expensive. Expect follow-ups on caching, batching, and routing between models.
  • Evaluating agent output at scale. Measure whether the agent's code is actually good, across many runs.

A Worked Question: Design an Execution Environment for a Coding Agent

Step 1: Clarify the requirements. The agent must clone a repository, install dependencies, run commands, and browse. It must never reach another customer's data. State a scale assumption: thousands of concurrent sessions.

Step 2: Choose the isolation unit. Compare containers with virtual machines. A container shares the host's kernel, so it starts fast but isolates less. A virtual machine emulates a whole computer, so it isolates more but costs more. A strong answer is lightweight virtual machines, one per session.

Step 3: Make startup fast. Slow starts make the agent feel unresponsive. Cache base images with common dependencies preinstalled. Snapshot a prepared environment and clone it for each new session.

Step 4: Design state and checkpoints. Save the workspace to durable storage at intervals. After a crash, restore the snapshot and replay the recent steps. The same design lets a user pause a task and resume it later.

Step 5: Scope credentials and network access. Give each session short lived, minimal credentials. Control outbound traffic with an explicit allow list. Log every sensitive operation for audit.

Step 6: Add observability and controls. Stream logs and resource metrics per session. Enforce limits on time, memory, and spend. Include a way for a human to stop any session instantly.

Step 7: State the trade-offs. Stronger isolation raises the cost per session. Tighter network rules break some legitimate tasks. Naming these plainly is the senior signal the round exists to find.

What Interviewers Grade

Judgment under ambiguity is graded above completeness. Pick reasonable numbers, state them, and keep moving through the design. Reports also emphasize communication: explain each decision in one or two short sentences. A drawn diagram with three labeled parts is clearer than five minutes of talk.

Silence is the common failure. Candidates stop talking while they think, and the interviewer cannot grade thinking they cannot hear. Narrate your options, pick one, and give the reason in one sentence. It is fine to revise a choice later when new constraints appear. Also state what you would measure after launch: session start time, crash recovery rate, and cost per task.

How to Prepare

TAGS
System Design Interview
CONTRIBUTOR
Arslan Ahmad
Arslan Ahmad
ex-FAANG engineering manager and author or Grokking series.
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