AI is a crystal ball into your codebase episode artwork

EPISODE · Dec 9, 2025 · 34 MIN

AI is a crystal ball into your codebase

from The Stack Overflow Podcast

Ryan is joined by Kayvon Beykpour, CEO and founder of Microscope, to dive into AI-powered code review’s potential for managing large codebases, the need for humans-in-the-loop for reviewing PRs so AI tools can efficiently and effectively debug, and how AI can increase visibility  through summarization at the abstract syntax tree level and high signal-to-noise ratio code reviews.Episode notes:Macroscope helps you understand your code through AI-powered code review, automated PR descriptions, and real-time status reportsConnect with Kayvon on Twitter and LinkedIn.This week’s shoutout goes to user Jesper Grann Laursen for winning a Populist badge on their answer to Exclude Table during pg_restore. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan is joined by Kayvon Beykpour, CEO and founder of Microscope, to dive into AI-powered code review’s potential for managing large codebases, the need for humans-in-the-loop for reviewing PRs so AI tools can efficiently and effectively debug, and how AI can increase visibility  through summarization at the abstract syntax tree level and high signal-to-noise ratio code reviews.Episode notes:Macroscope helps you understand your code through AI-powered code review, automated PR descriptions, and real-time status reportsConnect with Kayvon on Twitter and LinkedIn.This week’s shoutout goes to user Jesper Grann Laursen for winning a Populist badge on their answer to Exclude Table during pg_restore.  See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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AI is a crystal ball into your codebase

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This episode was published on December 9, 2025.

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Ryan is joined by Kayvon Beykpour, CEO and founder of Microscope, to dive into AI-powered code review’s potential for managing large codebases, the need for humans-in-the-loop for reviewing PRs so AI tools can efficiently and effectively debug, and...

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