SE Radio 711: Scott Hanselman on AI-Assisted Development Tools

SE Radio 711: Scott Hanselman on AI-Assisted Development Tools

Author: team@se-radio.net (SE-Radio Team) March 11, 2026 Duration: 1:02:15

Scott Hanselman, the VP of Developer Community at Microsoft, speaks with host Jeremy Jung about AI-assisted coding. They start by considering how the tools are a progression from syntax highlighting and autocomplete. Scott describes the ambiguity and non-determinism of agentic loops, why vague high-level prompts usually don't give good results, and the need to express intent and steer the models. He explains how knowing fundamentals helps you create better plans and know what to ask the models, and how to treat agents differently based on your knowledge level. He discusses his experience porting Windows Live Writer to a modern .NET stack, and defining success and providing tools for models to verify their work. Finally, he explains why you need to read and understand generated code in production environments, plus methods for sandboxing agents.


For developers who build the world's most critical systems, Software Engineering Radio offers deep, substantive conversations that move beyond the hype cycle. This isn't about quick tips or news flashes; it's a dedicated audio library for career engineers seeking to solidify their foundational knowledge and explore advanced concepts. Each episode is crafted as an enduring resource, featuring either a comprehensive tutorial breaking down a specific technology or methodology, or a detailed interview with a leading practitioner shaping the field. You'll hear focused discussions on everything from low-level systems architecture and programming language design to team dynamics and project management, all through the lens of professional software creation. The content is exclusively produced for this podcast, ensuring thoughtful, in-depth analysis you won't find simply repackaged from conference talks. If your work demands a rigorous understanding of the craft, this is the podcast for you.
Author: Language: en-us Episodes: 100

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