Episode
Scott & Mark Learn To… Refchecker, a Useful Tool Coded by Mark and AI
- Podcast
- Scott & Mark Learn To...
- Published
- Sep 3, 2025
- Duration seconds
- 1798
- Processing state
not_requested- Canonical source
- https://shows.acast.com/scott-and-mark-learn-to/episodes/scott-mark-learn-to-refchecker-a-useful-tool-coded-by-mark-a
Actions
POST https://stenobird.com/v1/public/podcasts/scott-mark-learn-to-7043872/episodes/scott-mark-learn-to-refchecker-a-useful-tool-coded-by-mark-and-ai/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/scott-mark-learn-to-7043872/scott-mark-learn-to-refchecker-a-useful-tool-coded-by-mark-and-ai.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
In this episode, Scott Hanselman and Mark Russinovich explore the challenges and opportunities of coding with AI assistants. They compare different models, discuss the quirks of “vibe coding,” and share insights on building tools that bridge LLMs and APIs. Mark walks through his experience developing an academic reference checker, highlighting how AI can help structure messy data, uncover edge cases, and speed up complex development work. The conversation also touches on the evolving joy of coding, from puzzle-solving by hand to managing AI-driven workflows, and how these shifts are reshaping both productivity and creativity. Takeaways: Mark’s journey building an academic reference checker with AI How AI assistants are changing the way developers find joy in coding RefChecker source code: https://github.com/markrussinovich/refchecker 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.