103Your team merges 50 agent-written PRs a week and review is the bottleneck. Design the review workflow.▼expertGoogleGitHub◆ premiumAgent PR volume scales with compute; human review capacity does not. Most candidates answer 'add an AI reviewer' and miss the real design problem: deciding which changes deserve human judgment at all. Interviewers want a risk-tiered pipeline you would trust in production.Open full answer →
100Refactor a 500-line function that parses, computes, and prints into unit-testable pieces without changing behavior. Walk me through it.▼hardOpenAIAnthropic◆ premiumMost candidates start rewriting. The interviewer is grading whether you isolate pure logic from side effects before you touch a line, because that is the difference between a safe refactor and a silent behavior change.Open full answer →
16Design an AI code review system that comments on pull requests.▼hardMicrosoftGoogleCognition3 replies○ sign inAI code review succeeds or fails on precision: a handful of noisy comments and the team silences the bot for good. The signal is grounding in the diff plus repo context, unforgiving false-positive control, and winning developer trust one accepted comment at a time.Open full answer →
