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 coding, including edge cases, maintenance, and the limits of productivity gains.
Takeaways:
AI-assisted coding works best as an iterative process, not a one-shot, fully spec’d solution
Edge cases and real-world usage quickly expose gaps that initial builds
AI can accelerate development, but human review, testing, and bottlenecks still limit true productivity gains
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