The Math Doesn't Work
📰 Dev.to AI
A developer builds a dashboard to track PR review times and discovers a surprising pattern that challenges their assumptions about code review efficiency
Action Steps
- Build a dashboard to track PR review times using tools like Tableau or Power BI
- Configure the dashboard to display review times for different code size ranges
- Analyze the data to identify patterns and trends in review times
- Apply the insights to optimize code review processes and improve team velocity
- Test the effectiveness of changes made to the code review process
Who Needs to Know This
Developers, product managers, and team leads can benefit from this insight to optimize their code review processes and improve team productivity
Key Insight
💡 The relationship between code size and review time may not be as straightforward as assumed
Share This
🚨 Did you know that larger PRs don't always mean longer review times? 🤔
Key Takeaways
A developer builds a dashboard to track PR review times and discovers a surprising pattern that challenges their assumptions about code review efficiency
Full Article
I built a dashboard to track how long PRs sat in review. I wanted to see where velocity was getting stuck. It was a pattern that made me question every approval I'd ever given. The Numbers That Didn't Add Up The dashboard showed two bars side by side. PRs under two hundred lines averaged fifteen minutes in review. PRs over a thousand lines averaged twenty minutes. Five minutes difference. For five times the code. I sat with that for a minute. A ten-line change
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