In this episode of Scott and Mark Learn To, Scott Hanselman and Mark Russinovich dive into the emotional complexity of receiving feedback—especially when it’s tough to hear. They explore the difference between constructive critique and personal opinion, the impact of timing and context, and how motivation behind feedback can shape how it's received. Sharing real stories about presentation flops, speaker coaching, and surprising reactions to their ideas, they reflect on how experience builds resilience and why it’s important to hold onto your convictions while staying open to growth. They also touch on the balance between instinct and data in decision-making, the subtle politics of corporate resistance, and even the fine art of surviving massive Zoom meetings with 81 attendees. It’s an honest, funny, and thoughtful conversation about learning, evolving, and breathing through it all.

Takeaways:

• The importance of understanding the context in which feedback is received
• How hard it can be to maintain belief in your work after negative feedback
• You don’t have to accept all feedback you can pick what serves you the best

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

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In this episode of Scott & Mark Learn To, Scott Hanselman and Mark Russinovich discuss using AI to build a fractal shader in just 15 minutes—something that would normally take hours of manual coding. They explore the challenges and limitations of AI in real-world projects, particularly with large, complex codebases. The conversation covers the importance of understanding licensing and tools like GitHub Copilot for sourcing and attributing code. Mark shares his experiences with AI-assisted coding, particularly the frustrations of models that "fix" issues but miss the mark. They highlight how AI struggles with complex projects, maintaining state, and adapting to evolving requirements. Ultimately, they agree that while AI can assist with certain tasks, human expertise is essential for ensuring the right context and specification in development.

Takeaways:

• Despite initial skepticism, the first attempt at creating the shader worked nearly perfectly
• AI models may not always use the latest API versions, causing security or functionality issues
• Enterprise AI development involves continuous iteration, evolving from V1 to more refined versions

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

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Hosted on Acast. See acast.com/privacy for more information.

In this episode of Scott & Mark Learn To, Scott Hanselman and Mark Russinovich dive into a lively mix of tech nostalgia, AI-driven code attribution, and shader programming mishaps. Scott introduces "ShaderGlass," an app that overlays CRT-style shaders on windows, leading to a chaotic live troubleshooting session when it renders invisibly. They also explore AI-assisted code attribution, joke about their legendary Zoomit skills, and poke fun at "vibe coding" among younger developers.

Takeaways:

• AI-generated code can now include references to original sources
• Scott proves that some apps can operate without Windows recognizing them
• How AI-generated code challenges traditional copyright laws

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

Download the Transcript

Hosted on Acast. See acast.com/privacy for more information.