Is your local machine lying to you? Ben Potter, VP of Product at Coder, gets real about why AI agents aren’t living up to their potential without the right infrastructure. Developers and platform teams are dealing with bloated systems and inconsistent environments, but the real problem is a missing layer. In this episode, we uncover the key to making AI work: a development stack that’s secure, scalable, and reliable.If you’re tired of wrestling with broken dev environments and want AI to make more sense in your workflows, this episode’s for you.In this episode, you’ll learn:The real reason AI agents aren’t living up to their hypeHow to create a secure and scalable AI development stackWhy your current environment setup is holding you back from AI successThings to listen for: (00:00) Meet Ben Potter(02:40) How AI is evolving from assistant to teammate in workflows(05:03) The Waymo vs. Tesla analogy for agentic AI(10:06) The risks of AI in enterprisess(17:11) Ephemeral environments are crucial for AI agents(22:32) Why enterprises are spending over a million dollars on AI yearly(28:07) How the right infrastructure lets developers use AI as a reliable tool(33:07) Rapid prototyping with AI in product management(37:12) Why “agents are hired, not built”(44:45) AI agents working together: teamwork or chaos?(46:07) How boundaries enable agents and AI to work together(57:38) Will agentic AI ship code by 2026?Resources:Ben Potter's LinkedIn: https://www.linkedin.com/in/bpmct/Coder website: https://coder.com/

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