Engineering interview practice guides
Worked examples for reviewing AI-generated code, building safe retries, and evaluating machine learning systems. Read, reproduce, then practice.
- How to review AI-generated code
A worked review of a cache patch: establish the contract, find a counterexample, verify the fix, and explain the evidence.
- Retry safety and idempotency, with a worked example
Reason about ambiguous failures, repeated writes, deadlines, and backoff before adding retries to a backend service.
- ML evaluation and data leakage: inspect the evidence
Work through a confusion matrix and a historical feature example to spot misleading model metrics and unavailable training data.
Read it, then test it
These guides use small, original examples to make an engineering decision visible. Use them to rehearse your explanation, then work through an exercise in the practice catalog.
Read our editorial approach and how evaluated sessions are scored.