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The Coddling is Over: AI and the New Era for Developers
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PodcastJuly 21, 2025

The Coddling is Over: AI and the New Era for Developers

AI FLUENCYAI ADOPTIONCOMMUNITY BUILDINGTECH LEADERSHIP

Hannah Foxwell on why AI fluency is essential for all tech professionals. Drawing parallels between DevOps and AI, focusing on real business impact.

Hosted by:
Deejay
Featuring:
Hannah Foxwell, AI for the rest of us

Episode Transcript

welcome to the waves of innovation podcast in this episode I am talking to Hannah Foxwell who has an absolute wealth of experience across the industry Hannah currently runs AI for the rest of us a community and a conference that aims to make AI accessible to everybody stick around until the end to r...

Episode Highlights

  • Hannah argues that the era of coddled developers is over, and the focus must shift from writing code to delivering business impact.
  • Novel tools from companies like Leapter are visualizing AI-generated code, making software development more human-readable and collaborative.
  • The AI for the Rest of Us community was created after Hannah's personal experience feeling bamboozled by inaccessible AI jargon.
  • Hannah draws direct parallels between the current AI wave and the early, messy, culture-driven days of the DevOps transformation
  • GenAI poses a significant challenge for junior developers, as companies may now hire for senior capability over junior capacity.
  • AI fluency, the ability to speak the language of AI, is a critical skill for everyone—not just builders—to help navigate change.
  • True innovation in AI requires slack in the system, as its unpredictable, pioneering nature cannot be rushed by deadlines.
  • Citing Team Topologies, Hannah argues that internal enabling teams are crucial for helping the rest of the business adopt and effectively use new AI tools.
  • She warns that without a strong focus on user needs, AI productivity gains only turn you into an AI-powered feature factory, doing the wrong things faster.
  • Hannah believes that in this early, messy phase of AI adoption, the people who claim to have all the answers are the ones to be trusted the least.