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From Prompts to Product: How AI is Changing Software Development episode artwork

Sep 2, 2025 35 min

From Prompts to Product: How AI is Changing Software Development

from How Many CTOs Hosted by How Many CTOs Podcast

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub explore the evolving reality of AI productivity, and what it means for software engineering, product management, and the future of work. They kick things off with a look at recent data showing how the complexity of tasks AI can handle is rapidly increasing—measured by the length of human-equivalent work AI can now complete. This sparks a lively discussion about breaking down work for AI agents, the art of writing effective prompts, and the surprising thoroughness of AI-generated specifications. From there, Brad and Scott share hands-on stories from their own podcast website, revealing how AI coding assistants like Codex and Claude are transforming everything from feature development to bug fixing. The conversation expands into the challenges and opportunities of integrating AI into real-world workflows, the role of design systems, and the shifting responsibilities of engineers in an AI-powered world. Along the way, Scott and Brad wrestle with big questions: How do you break down complex projects so AI agents can succeed? What makes a prompt or ticket "AI-friendly"? Will AI coding agents drive more standardization in software development? How does the engineer's role change when AI handles the heavy lifting? Can AI bring back the joy and creativity that first drew us to technology? Whether you're a CTO, engineer, or product leader, this episode offers a candid look at the practical realities of working with AI, the new skills required, and why embracing these tools might just make your job more fun. 00:00 Introduction and Welcome 00:42 The AI Task Complexity Curve 03:27 Breaking Down Work for AI Agents 08:00 WayMo Traffic Jams 09:05 Real-World AI Coding Stories (Podcast Website Features) 18:04 Standardization, Design Systems, and AI 22:30 A More Complex Example: Episode Transcripts 25:00 AI Agent as Product Manager for AI Coding Agent 28:12 AI Coding Fail, Time for AI Debugging 31:25 Finding Joy in AI-Driven Work 34:50 Outro and Credits Resources: How Many CTOs Pod: https://howmanyctospod.com Scott Porad: https://www.linkedin.com/in/scottporad/ Brad Hefta-Gaub: https://www.linkedin.com/in/bradheftagaub/ #TechPodcast #EngineeringPodcast #DevTalks #PodcastForDevs #HowManyCtos #Podcast #Ctos #CtoPodcast #Technology #Engineering #SoftwareDevelopment #TechLeadership #AIProductivity #AIAgents #PromptEngineering #ProductManagement #Standardization #Coding #AI

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