Developer Tea exists to help driven developers connect to their ultimate purpose and excel at their work so that they can positively impact the people they influence. With over 17 million downloads to date, Developer Tea is a short podcast hosted by Jonathan Cutrell, engineering leader with over 15 years of industry experience. We hope you'll take the topics from this podcast and continue the conversation, either online or in person with your peers. Email: [email protected]
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Scott & Mark Learn To… Refchecker, a Useful Tool Coded by Mark and AI
Manage episode 504197174 series 3608871
Content provided by Bruce Bracken. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bruce Bracken or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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
Hosted on Acast. See acast.com/privacy for more information.
25 episodes
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Manage episode 504197174 series 3608871
Content provided by Bruce Bracken. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bruce Bracken or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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
Hosted on Acast. See acast.com/privacy for more information.
25 episodes
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Similar to Scott & Mark Learn To...
Developer Tea exists to help driven developers connect to their ultimate purpose and excel at their work so that they can positively impact the people they influence. With over 17 million downloads to date, Developer Tea is a short podcast hosted by Jonathan Cutrell, engineering leader with over 15 years of industry experience. We hope you'll take the topics from this podcast and continue the conversation, either online or in person with your peers. Email: [email protected]
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continue reading
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…
continue reading
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…
continue reading
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