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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.
Resources:
#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
By Brad Hefta-Gaub & Scott PoradIn 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.
Resources:
#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