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In this episode Mike and Matt discuss how code review is becoming one of the most important developer skills as AI takes on more of the actual code writing. With AI generating larger and denser pull requests, reviewing code effectively has become harder - and more critical - than ever.
They break down the real cognitive limits humans face when reviewing code, including how many lines can realistically be reviewed at once and why reviews should be timeboxed to avoid missed issues. The conversation focuses on how to anchor reviews around what truly matters in a codebase, such as security, performance, testing, reliability, and user experience.
Mike and Matt also share practical tips for becoming a better code reviewer, including creating checklists around critical paths, doing multiple review passes, encouraging smaller cascading PRs, and relying on tools like linters, formatters, and AI to handle nits. They wrap up by exploring how AI can assist with code reviews - summarizing diffs, identifying risky areas, and generating edge cases - while leaving final decisions and tradeoffs firmly in human hands.
Show Notes: https://www.htmlallthethings.com/podcast/code-reviews-are-more-important-than-ever
By Matt Lawrence and Mike Karan4.8
4949 ratings
In this episode Mike and Matt discuss how code review is becoming one of the most important developer skills as AI takes on more of the actual code writing. With AI generating larger and denser pull requests, reviewing code effectively has become harder - and more critical - than ever.
They break down the real cognitive limits humans face when reviewing code, including how many lines can realistically be reviewed at once and why reviews should be timeboxed to avoid missed issues. The conversation focuses on how to anchor reviews around what truly matters in a codebase, such as security, performance, testing, reliability, and user experience.
Mike and Matt also share practical tips for becoming a better code reviewer, including creating checklists around critical paths, doing multiple review passes, encouraging smaller cascading PRs, and relying on tools like linters, formatters, and AI to handle nits. They wrap up by exploring how AI can assist with code reviews - summarizing diffs, identifying risky areas, and generating edge cases - while leaving final decisions and tradeoffs firmly in human hands.
Show Notes: https://www.htmlallthethings.com/podcast/code-reviews-are-more-important-than-ever

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