How Many CTOs26 Kesä 2025

The End of Programming As We Know It? Justin Kaufman's tips on building fast with AI

In this bonus episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub engage in a deep and insightful conversation with their guest Justin Kaufman about the transformative role of AI in software development. The discussion explores the potential of AI to revolutionize the industry by automating aspects of coding and problem-solving, potentially reducing the need for traditional software engineers in certain sectors. Justin shares his optimistic yet realistic views on how AI can significantly boost developer productivity and highlights real-world examples of AI-driven improvements in test coverage and coding efficiency. The episode also delves into the significance of organizing codebases for better AI integration and the advantages of using GraphQL to facilitate AI operations within applications. The conversation underscores the evolving nature of software engineering roles and the importance of embracing AI to stay relevant and succeed in the tech industry.

00:00 Introduction and Setting the Stage
01:07 The Future of Software Programming Jobs
02:48 AI's Limitations and Human Creativity
07:23 Real-World AI Success Stories
09:33 Embracing AI for Career Growth
12:22 Technical Insights and Best Practices
16:09 Conclusion and Episode Wrap-Up

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/
Justin Kaufman: https://www.linkedin.com/in/justinkaufman/

#TechPodcast #EngineeringPodcast #DevTalks #PodcastForDevs #HowManyCtos #Podcast #Ctos #CtoPodcast #Technology #Engineering #SoftwareDevelopment #Entrepreneurship #AIEatsCode #SoftwareIsDead #WillAIBuildItBetter #EndOfProgramming #TechHotTakes #MonolithVsMicroservices #FastAndRecklessDev #AIShippedIt #GenerativeAI #BuildOrBeReplaced #StartupStack #FutureOfEngineering #HowManyCTOs #DumbSystemsSmartResults #GraphQL #TechProvocation #AISoftwareDevelopment #EngineeringDisruption #BuildFastDieYoung

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Jaksot(85)

The Hardware/Software Blend: Visionary Innovations in Health Tech with Eyebot's Jack Moldave

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Fast, On Time, or Fully Utilized? Choosing What to Optimize in Engineering Delivery

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Method to the Madness: A CTO Framework for Systemic AI Adoption

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Is Uncle Bob Right? Reading Code vs. Architecting the Future

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Token Maxxing and Local Inference: Navigating the Shift in AI Usage for Developers

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This Has Always Been A Problem: Slot Machine Devs and Growing Junior Engineers in the Age of AI

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