Code Review14 min read

Code Review Interviews: How to Run One and What to Evaluate

Learn why code review interviews are superior to abstract puzzle interviews. Step-by-step guide to designing exercises, candidate scorecards, and realistic pull request evaluations.

Pairlet TeamPublished: 2026-09-08

Traditional algorithm interviews often fail to predict how well an engineer will perform on a team. A Code Review Interview presents candidates with a realistic pull request containing intentional flaws—performance bottlenecks, security vulnerabilities, edge-case oversights, or poor TypeScript design.

Why Code Review Interviews Outperform Puzzle Puzzles

1. Mirrors Daily Engineering: Developers spend significant time reviewing peer pull requests. 2. Evaluates Practical Depth: Tests knowledge of security (SQL injection, auth bugs), performance (N+1 queries, memory leaks), and maintainability. 3. Tests Communication Skills: Observes how constructively candidates phrase feedback and suggest refactored alternatives.

How to Structure a Code Review Exercise

1. Provide Context: Give candidates a brief user story or bug report explaining what the pull request is intended to accomplish. 2. Include 3-5 Specific Flaws: Mix bug categories (e.g. 1 security bug, 1 performance issue, 1 missing error handling case). 3. Allow Live Editing: Ask the candidate to not only point out the flaws but refactor the code live in the editor.

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Run Code Review Interviews Live Pairlet includes built-in interactive Code Review interview tasks. [Try Code Review Problems on Pairlet](https://www.pairlet.dev/problems).

Frequently Asked Questions

Why are code review interviews gaining popularity?

Code review interviews mirror true day-to-day engineering tasks: reviewing code written by peers, identifying security/performance bugs, and communicating constructive feedback.

Practice Relevant Coding Problems
Practice Live Coding

Conduct Live Coding Interviews with Zero Friction

No candidate sign-up required. Create an instant room, share the link, and code together in real time with shared code execution.

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