Scott & Mark Learn To...

In this episode, Scott Hanselman and Mark Russinovich pull back the curtain on Microsoft's Build conference with a look at the cutting room floor of Mark's Inside Azure Innovations breakout session. They explore fascinating technologies that didn't make the final presentation, including AI-powered network repair agents, advanced data center cooling systems, supply chain security innovations, promp...

In this episode, Scott Hanselman and Mark Russinovich reflect on conversations from Microsoft Build before diving into a thoughtful debate about AI's impact on software engineering. They explore why coding is ultimately about clear specifications, testing, and evaluation, not just generating code and discuss whether AI will truly replace developers or simply change how software is built. Along the...

In this episode, Scott Hanselman and Mark Russinovich dive into a growing issue in AI-driven research: hallucinated references in academic papers. After scanning thousands of conference submissions, Mark uncovers widespread citation inaccuracies, sparking a broader conversation about accountability, cognitive surrender, and the risks of over-relying on AI tools. They explore where AI adds value ve...

In this episode, Scott Hanselman and Mark Russinovich unpack the tension between subjective preference and objective usability, arguing that strong product instincts come from years of exposure, experience, and pattern recognition rather than innate talent. Through examples ranging from UI design to AI-assisted coding, they highlight how good decision-making requires both a holistic systems view a...

In this episode,  Scott Hanselman  and  Mark Russinovich  ​​dive into the evolution of ZoomIt, exploring new features like panoramic screen capture, webcam overlays, and lightweight video editing tools. They discuss the technical challenges behind building these capabilities, especially stitching images across any application and how AI-assisted coding is accelerating developme...

In this episode,  Scott Hanselman  and  Mark Russinovich  ​​explore how software development is evolving in the age of AI, challenging the idea that everything should start with a fully defined spec. They highlight a more iterative, sculpting approach to building, where continuous refinement, testing, and human judgment are essential and discuss the realities of AI-assisted cod...

In this episode,  Scott Hanselman  and  Mark Russinovich  ​​unpack how AI systems actually behave beneath the surface, pushing past hype into the messy reality of how models are trained, aligned, and deployed.  They explore whether AI systems are inherently benevolent or simply shaped by incentives, training data, and reinforcement learning, and why behaviors lik...

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 surpris...

In this episode,  Scott Hanselman  and  Mark Russinovich  discuss their recent ACM paper and explore a growing challenge in the tech industry: how to develop the next generation of engineers. They debate the idea of preceptorship programs that train early-career developers inside companies, why many organizations avoid investing in junior talent, and how universities could play...

In this episode,  Scott Hanselman  and  Mark Russinovich  dive into a wide-ranging conversation about the future of software, debating whether apps are dead in an era of AI agents, chat interfaces, and automation. They explore the resurgence of text-based and terminal user interfaces, the limits of using large language models as stand-ins for deterministic workflows, and why re...

In this episode,  Scott Hanselman  and  Mark Russinovich  explore how AI-assisted vibe coding is changing the way complex software gets built, debugged, and refined. Mark walks through real-world experiments using AI to tackle difficult engineering problems, including gRPC shared memory, Win32 UI work, and major new features coming to ZoomIt. The conversation dig...

In this episode,  Scott Hanselman  and  Mark Russinovich  pull back the curtain on what really goes into a large-scale conference talk, using their recent Ignite session as a case study. They reflect on the balance between educational and soft talks, the importance of credibility and audience expectations, and why not every talk needs a rigid takeaway to be valua...

In this episode, Scott Hanselman and Mark Russinovich dive into where they get their tech news and how their habits have evolved from the early days of blogging and RSS to today’s AI-focused email newsletters. They reminisce about the heyday of blogs, the rise and fall of Google Reader, and Mark’s old NT Internals mailing list, which once had nearly 90,000 subscribers. They compare curated sources...

In this episode,  Scott Hanselman  and  Mark Russinovich  dive into how they each manage the flood of information, reminders, and ideas that fill their daily lives. From handwritten to-do lists to OneNote archives, they explore the balance between productivity tools and procrastination, and how offloading tasks can clear mental space. The two reflect on the psychology of lists,...

In this episode,  Scott Hanselman  and  Mark Russinovich  explore how artificial intelligence is reshaping software engineering and the career paths of developers. They discuss the emerging “AI boost” for experienced engineers versus the “AI slowdown” that can hinder those early in their careers, emphasizing the need for companies to create structured learning environments rath...

In this episode,  Scott Hanselman  and  Mark Russinovich  dive deep into the promises and pitfalls of AI-assisted coding. They debate whether large language models can truly handle complex software projects, discuss the limitations of current AI systems in areas like synchronization, and explore the difference between human learning and machine pattern-matching. Along the way,...

In this episode,  Scott Hanselman  and  Mark Russinovich  dive into the realities of career progression at Microsoft and in tech more broadly. They discuss the different paths engineers can take, whether through management, deep technical expertise, or individual innovation and the role that scope, impact, and even luck plays in promotions. Along the way, they re...

In this episode, Scott Hanselman and Mark Russinovich dive into the technical side of modern AI research and development workflows. They discuss the power of remote development with VS Code, building custom chatbot tools for jailbreak testing, and exploring token probabilities with log probes. Mark also shares how he leveraged AI to generate a working UX in one shot, why temperature settings matte...

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 cas...

In this episode, Scott Hanselman and Mark Russinovich share strategies for conducting more effective and purposeful one-on-one meetings. They emphasize the value of tailoring the approach to each individual, encouraging agenda-setting in advance, and prioritizing critical topics to ensure they are addressed. The discussion covers best practices for providing and receiving constructive feedback, ma...

In this episode of  Scott and Mark Learn To ,  Scott Hanselman  and  Mark Russinovich  explore vibe coding with AI, testing how Copilot Agent Mode can analyze their transcripts to see who talks more on the show. They discuss coding with AI as a collaborative sculpting process, debate crediting AI for its contributions, and reflect on the human judgment still needed for pro...

In this episode of  Scott and Mark Learn To ,  Scott Hanselman  and  Mark Russinovich  discuss innovative tools they built with AI assistance: Mark’s smart directory navigation tool that streamlines moving through nested folders by typing partial names, and Scott’s study website that transforms complex topics into structured, digestible material with AI-generated answers a...

In this episode of  Scott and Mark Learn To ,  Scott Hanselman  and  Mark Russinovich  Scott shares the behind-the-scenes stress and preparation that went into his recent TEDx talk, which required memorizing a 12-minute script and performing it without a teleprompter. Mark Russinovich opens up about how he experiences stress when his schedule gets out of control,...

In this episode of  Scott and Mark Learn To ,  Scott Hanselman  and  Mark Russinovich  dive deep into the topic of self-promotion, visibility, and personal branding. They explore the blurry lines between promoting your work, representing your company, and building a personal brand—whether intentional or not. With humor, honesty, and vulnerability, they refle...

In this episode of  Scott and Mark Learn To ,  Scott Hanselman  and  Mark Russinovich  dive into the chaotic world of large language models, hallucinations, and grounded AI. Through hilarious personal stories, they explore the difference between jailbreaks, induced hallucinations, and factual grounding in AI systems. With live prompts and screen shares, they test the limit...