Scott & Mark Learn To...

In this episode, Scott Hanselman and Mark Russinovich explore when to let AI solve a problem and when figuring it out is half the fun. They celebrate 30 years of Sysinternals by looking back at how the tools have evolved and how AI is changing software engineering and troubleshooting. Along the way, they debate efficiency versus learning by doing and consider a future where tools may increasingly be built for AI rather than humans.

Takeaways:
How Sysinternals has evolved over the past 30 years
How AI is changing software engineering and troubleshooting
Why future developer tools may be designed for AI, not humans

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.

In this episode, Scott Hanselman and Mark Russinovich talk about gaming, from the countless hours they’ve spent playing over the years to why they gravitate toward very different types of games. Scott makes the case for immersive single-player experiences like Crimson Desert, while Mark explains why Battlefield is his go-to for switching his brain off. Along the way, the conversation turns to the future of AAA games, AI-generated content, and whether knowing something was created by AI changes how we value it.

Takeaways:
Different games serve different purposes for each player
Can AI-generated games deliver the same value as something created primarily by people
Does knowing the work and craftsmanship behind a game changes the experience


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.

In this episode, Scott Hanselman and Mark Russinovich explore how AI is rapidly changing the way software is built, from acting as a true research assistant to generating production-ready code and even helping write academic papers. They debate whether AI deserves credit for its work, discuss the future of developer tools like CLI vs. GUI and MCPs, and dive into creative AI projects like generating custom Doom levels from simple prompts. The conversation wraps with a thoughtful discussion about AI-generated art, creativity, and where human craftsmanship still matters most.


Takeaways:
Human judgment is still essential, even when AI does most of the implementation
AI is evolving from a coding assistant into a genuine research collaborator
The industry hasn't settled how AI contributions should be credited

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.

In this episode, Scott Hanselman and Mark Russinovich explore Mark's latest AI-assisted coding project: bringing the iconic Sysinternals Process Explorer to macOS. They discuss how AI dramatically accelerated development, where human expertise was still essential, and why building reliable software still requires careful iteration, debugging, and judgment. Along the way, they compare Windows and macOS internals and examine what these advances mean for the future of software development.

ZoomIt for Mac is now available here: Sysinternals ZoomIt for MacOS.

Takeaways:
What it took to bring Process Explorer to macOS
Key differences between Windows and macOS system tools.
Practical lessons for building with AI effectively

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.

In this episode, Scott Hanselman and Mark Russinovich explore the realities of vibe coding by walking through a few of Mark's recent AI-assisted projects, including Polypost, a tool for writing and formatting social media posts and a nearly feature-complete Mac version of ZoomIt. They discuss where AI excels, where it still struggles, and why building software has become less about writing code and more about guiding, testing, and refining an AI collaborator. Along the way, they share lessons on prompt engineering, user experience, debugging, and why human judgment remains essential even as AI accelerates development.

Polypost — multi-platform post editor

Takeaways:
Successful AI development still relies on human decision-making
Mark shares the challenges and wins of building Polypost with AI
The iterative process of prompting, testing, and refining that turns AI-generated code into production-quality software


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.