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

Boris D. Teoharov

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.

Comments