In this episode of Semaphore Uncut, Jamie Dobson, co-founder and former CEO of Container Solutions, shares a thoughtful perspective on generative AI, developer productivity, and system stability.

The conversation explores why recent research shows engineers feeling happier and more productive with AI tools—while system reliability quietly declines. Jamie explains how AI-generated code can appear correct while introducing subtle long-term risk, and why speed without deep understanding can be dangerous for growing systems.

They also discuss why looking back at the history of computing—from time-sharing to early neural networks—helps demystify today’s AI hype. The episode closes with a reflection on the stories we tell about technology, how humans and machines can work together, and what engineering leaders should be paying attention to next.

👉 Read the full blog post for the complete conversation — and happy listening!

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