R/reviewlab
LEETCODE FOR CODE REVIEWS

Become a better software engineer by reviewing real pull requests with instant AI feedback.

Practice production-quality Python reviews, learn to spot bugs senior engineers catch, and build interview-ready engineering judgment.

200+ practice reviews completed 10 Python PR scenarios AI score + missed issues
Pull request reviewScore: 82/100
Code diff + query = f"SELECT * FROM users WHERE name = '{name}'" + rows = db.execute(query)
My comments

Line 1 builds SQL with user input. Use parameterized queries to prevent injection.

AI feedback

✓ Found SQL injection

✓ Suggested safer direction

✗ Missed wildcard escaping

WHY NOT JUST CHATGPT?

Structured practice beats random prompting.

ChatGPT

Random code

No scoring

No progression

No interview focus

Review Lab

Realistic PRs

Review score

Levels and categories

Interview-ready feedback

01

Review production-quality code

Practice realistic Python bugs, edge cases, and tradeoffs.

02

Build senior judgment

Learn which issues matter and how to explain impact clearly.

03

Improve with progression

Earn XP, climb levels, keep streaks, and track review quality.

InternSDE1SDE2SeniorStaff
R/ reviewlab
CODE REVIEW GYM

LeetCode for Code Reviews.
Practice judgment, not syntax.

Review realistic Python pull requests, leave comments, and get instant AI feedback on what you found and what you missed.

10Python PRs
05career levels
XPscore feedback
HOW AI SCORES

Every score maps to concrete review misses.

82/100

✓ Found null pointer bug

✓ Suggested naming improvement

✗ Missed SQL injection

✗ Did not notice race condition

PerformanceSecurityConcurrencyPythonTestingAPI Design
PYorders.py×
+24−3
src / api / orders.py
THE METHOD

Build the reviewer's instinct.

01

Understand intent

Read the brief before the diff. Know what must be true.

02

Interrogate the code

Trace edge cases, state changes, and failure paths.

03

Communicate clearly

Explain impact and suggest a practical direction.