Episode

Scott & Mark Learn To...Vibe Coding, for Real (Again)

Podcast
Scott & Mark Learn To...
Published
Mar 25, 2026
Duration seconds
1492
Processing state
not_requested
Canonical source
https://shows.acast.com/scott-and-mark-learn-to/episodes/scott-mark-learn-tovibe-coding-for-real-again
Audio
https://sphinx.acast.com/p/open/s/66ff347463073ba71bb59705/e/69c2c9cc62f6c66afe200999/media.mp3
JSON
/v1/public/podcasts/scott-mark-learn-to-7043872/episodes/scott-mark-learn-to-vibe-coding-for-real-again
Markdown
/podcast/scott-mark-learn-to-7043872/scott-mark-learn-to-vibe-coding-for-real-again.md

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Summary

In this episode,  Scott Hanselman  and  Mark Russinovich  dive into the realities of building complex software with AI coding agents. Mark shares his experience using modern models to implement a shared-memory transport for gRPC across Go and .NET, explaining how AI dramatically accelerated development while still requiring constant oversight. They discuss the surprising strengths and limitations of AI coding tools, to the massive productivity gains that make the frustration worthwhile. The conversation also explores the challenges of solving hard engineering problems, including an attempt to build a scrolling screenshot stitcher, and wraps with thoughts on the future of developer tooling and a potential live episode of the show.      Takeaways:      AI coding agents can speed up complex development but still require human oversight  Developers often need to guide and correct the model throughout the process  Even with challenges, AI can reduce months of work to days      Who are they?       View Scott Hanselman on LinkedIn    View Mark Russinovich on LinkedIn       Watch Scott and Mark Learn on  YouTube            Listen to other episodes at  scottandmarklearn.to              Discover and follow other Microsoft podcasts at  microsoft.com/podcasts     Produced by Hangar Studios Hosted on Acast. See acast.com/privacy for more information.