My Essential Guide to Effective Pull Request Reviews

July 06, 2025

As someone who writes and reviews a lot of code, I’ve learned pull request (PR) reviews are more than bug checks—they’re about shared ownership, knowledge transfer, and building better code together. Here's a concise, practical guide to make PRs valuable and less painful.


1. Goals of a Good Review

  • Focus on improvement, not perfection
    Perfect code isn’t realistic—aim for better code. If a PR improves readability, maintainability, or correctness, approve it even if minor style tweaks remain. Use “Nit:” for optional suggestions. google.github.io

  • Shared ownership & mentorship
    Treat PRs as collective code. Leave educational feedback (“Nit: you could use X here…”), mentor junior devs, and be open to learning from them too.


2. Prep Before Reviewing

  • Authors: Self-review: Run tests, linters, and formatters. Provide context in PR descriptions and annotate complex logic.
  • Reviewers: Read the description first. Understand the “why” before delving into code.

3. Keep PRs Small & Focused

Data shows review quality drops significantly beyond ~400 LOC and ~60 minutes. atlassian.com devzery.com mikeconley.ca
Guidelines:

  • Stay under 200–400 LOC per PR. mikeconley.ca
  • Keep reviews under 60 minutes.
  • For big features, use stacked PRs (DB → API → UI).

4. Assign Reviewers Thoughtfully

  • One primary reviewer, ideally with domain knowledge.
  • Max two reviewers, to avoid diffusion of responsibility. support.smartbear.com abseil.io slab.com
  • Rotate reviewers for cross-training and healthy bus-factor.

5. What to Check In a PR

Use this mental checklist:

  1. Correctness: Does it fulfill requirements and handle edge cases?
  2. Design: Is it well-structured and idiomatic?
  3. Readability: Clear naming, simple logic, consistent style.
  4. Security: Validate inputs, sanitize outputs, avoid leaks.
  5. Performance: Watch out for heavy loops, N+1 queries.
  6. Tests: Coverage for core, edge, and error cases.
  7. Compliance: Proper docs, CI, licensing, formatting.

This ensures we catch more issues early—especially maintainability problems. google.github.io developers.google.com google.github.io


6. Leverage Automation

Let tools do the grunt work:

  • Linters (ESLint, RuboCop, SonarQube)
  • Formatters (Prettier, Black)
  • CI pipelines with tests, coverage, security checks

This allows human reviewers to focus on logic, architecture, and nuance.


7. Provide Constructive & Kind Feedback

  • Be respectful—punctuate suggestions, not people.
  • Praise what’s done well.
  • Be actionable: explain why and suggest how.
  • Prefix non-blockers with “Nit:” or “Optional:”. atlassian.com google.github.io
  • Keep discussions objective (“we” > “you”). Avoid personal critique.
  • Suggest synchronous chat if a back-and-forth stalls the process. atlassian.com

8. Measure Process, Not People

Key metrics to track trends (not judge individuals):

Use insights to refine your workflow—e.g. emphasize smaller PRs, improve docs, or educate on tricky modules—but never tie metrics to performance reviews. mikeconley.ca google.github.io bssw.io


9. Language-Specific Considerations

Different paradigms require tailored attention:

  • PHP/JavaScript/TS: Async handling, XSS, SOLID principles
  • Python: Resource management (with), PEP 8, default-arg pitfalls
  • Haskell/Scala functional: Type signatures, purity, immutability, macro checks
  • C/C++: Memory safety, pointers, RAII
  • Java: Null-safety, clean concurrency, SOLID
  • Lisp: Macro documentation, dynamic typing, idiomatic patterns

Adapt checklists depending on your stack and involve experts for unfamiliar languages.


Bonus: Recommended Deep-Dive Sources

  • Google’s The Standard of Code Review – Philosophy on code health and mentorship. google.github.io
  • Google Code Review Developer Guide – Checklist-style guidance. bssw.io
  • SmartBear/Cisco study – Empirical findings on PR size and timing. mikeconley.ca
  • Atlassian “5 Code Review Best Practices” – Practical style and teamwork tips. atlassian.com
  • Blockly PR Flow – Real-world staged review process. developers.google.com

Final Thoughts

PR reviews done right are more than quality gates—they're engines for learning, collaboration, and engineering excellence. By combining respectful culture, smart tooling, data-informed process, and thoughtful feedback, code reviews become rewarding discussions—not chores.

Happy reviewing!


Feel free to drop a comment or reach out if you want to dive deeper or share your own review tips!


Boris D. Teoharov

Hey, I'm Boris

I write about software development, AI experiments, and the occasional deep dive into computer science topics that catch my interest.

Senior Software Developer at ShareRig with expertise in web development, AI/ML, DevOps, and low-level programming. Passionate about exploring theoretical computer science, mathematics, and the creative applications of AI.

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