How do you decide when a coding agent should ask for human review?

Instruction: Describe how you would place human review in a coding-agent workflow.

Context: Checks whether the candidate can explain the core concept clearly and connect it to real production decisions. Describe how you would place human review in a coding-agent workflow.

Updated

Example Answer

I'd ask for review when there is a concrete decision the agent cannot safely resolve: conflicting requirements, an authorization change, a migration, or insufficient evidence for the proposed behavior. The reviewer should receive a small diff and the unresolved choice, not an empty request to “check everything.”

For example, a cancellation ticket may leave unclear whether to stop renewal or immediately remove access. I'd present those two outcomes and the relevant product evidence before coding the policy. Routine work within an already approved scope can continue without repeated interruptions. I'd examine missed escalations and unnecessary review requests separately; raising the interruption rate is not the same as improving judgment.

Why this works

Makes the review trigger and reviewer decision specific while preserving useful autonomy within clear scope.

Practice follow-up

What can the agent complete while it waits for a requirement decision?

Your preparation path

Work through these questions in order. Read the answer aloud, then explain it in your own words.

1. Start with the foundations

Build the vocabulary and explain the core decisions.

  1. When is a coding agent the right tool instead of autocomplete or manual engineering? Free sample
  2. What information should a coding agent persist between steps? Free sample
  3. Why do tests matter differently for coding agents than for chatbots? Free sample

2. Apply it to a real workflow

Practice diagnosis, validation, and everyday tradeoffs.

  1. What makes a patch proposal safe enough to apply automatically? Free sample
  2. The agent can find the bug, but its patches are hard for humans to review. What would you change? Member answer
  3. How would you verify a coding agent's web feature beyond a passing build and a screenshot? Free sample

3. Prepare for senior discussions

Explain failure boundaries, recovery, and production choices.

  1. A coding agent can modify infrastructure, app code, and data access layers in one task. How do you constrain it? Member answer
  2. Two coding agents change an API and its client in parallel. How would you integrate their work safely? Member answer
  3. A coding-agent hook runs before the repository trust prompt. What is wrong with that design? Member answer

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