Eight Levels of AI Adoption

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Steve Yegge has spent decades writing software and thinking about how the craft evolves. From his early years at Amazon and Google, to his influential blog posts, he has often been early at spotting shifts in how software gets built. 

In this episode of Pragmatic Engineer, I talk with Steve about how AI is changing engineering work, why he believes coding by hand may gradually disappear, and what developers should focus on, instead. We discuss his latest book, Vibe Coding, and the open-source AI agent orchestrator he built called Gas Town, which he said most devs should avoid using.

Steve shares his framework for levels of AI adoption by engineers, ranging from avoiding AI tools entirely, to running multiple agents in parallel. We discuss why he believes the knowledge that engineers need to know keeps changing, and why understanding how systems evolve may matter more than mastering any particular tool.

We also explore broader implications. Steve argues that AI’s role is not primarily to replace engineers, but to amplify them. At the same time, he warns that the pace of change will create new kinds of technical debt, new productivity pressures, and fresh challenges for how teams operate.

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Timestamps

(00:00) Intro

(01:43) Steve’s latest projects

(02:27) Important blog posts

(04:48) Shifts in what engineers need to know

(10:46) Steve’s current AI stance

(13:23) Steve’s book Vibe Coding

(18:25) Layoffs and disruption in tech

(31:13) Gas Town

(40:10) New ways of working

(51:08) The problem of too many people

(54:45) Why AI results lag in business

(59:57) Gamification and product stickiness

(1:04:54) The ‘Bitter Lesson’ explained

(1:07:14) The future of software development

(1:23:06) Where languages stand

(1:24:47) Adapting to change

(1:27:32) Steve’s predictions 

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The Pragmatic Engineer deepdives relevant for this episode:

• Vibe coding as a software engineer

• The full circle of developer productivity with Steve Yegge

• AI Tooling for Software Engineers in 2026

• The AI Engineering Stack

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