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From Prompts to Product: How AI is Changing Software Development
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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By Brad Hefta-Gaub & Scott PoradIn 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