Scaling AI Adoption in Engineering
A Practical Framework for Leaders
Overview
AI is already reshaping software development—but most companies are stuck in pilot mode, unsure how to move from experiments to meaningful transformation. This book offers engineering leaders a clear, pragmatic framework for adopting and scaling AI across the entire software development lifecycle.
Author Peter Bell draws on years of experience building CTO communities and insights from interviews with top engineering leaders to deliver a hands-on guide for navigating the real challenges of AI adoption: aligning teams, evolving org structures, revisiting hiring strategies, and managing risk. With in-depth case studies and battle-tested heuristics, you'll learn how to connect GenAI tools to actual outcomes—without falling prey to hype or paralysis.
You won't just explore what's possible; you'll walk away with a roadmap for operational change that balances innovation with pragmatism.
- •Design and lead a GenAI adoption strategy that fits your org's needs and constraints
- •Build experimentation pipelines that uncover what works
- •Rethink hiring, org design, and compliance in the age of AI
- •Communicate your AI vision with confidence to both engineers and executives
- •Create a culture of experimentation that's resilient, responsible, and results-focused
Weekly insights on scaling AI within the SDLC
I'm launching two podcasts (Startup CTOs and CTOs at Scale), a newsletter and a special Gather community to share learnings from and interviews with CTOs and other experts sharing what's actually working for adopting and scaling AI within the SDLC. I'll also share opportunities to contribute your experiences to the book and provide updates on the book as it goes through early release and beyond.
If you'd like to keep up to date, just share your email. Looking forward to engaging on this!
Get early access
The first couple of chapters are already live on the O'Reilly learning platform - check them out - any feedback appreciated!
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Share your experiences
Whether you're a CTO or VPE running an org of 100+, a venture backed CTO scaling an engineering team of 10-100, or a founder of an AI enabled dev tool, if you have specific tactical insights on adopting and scaling AI across the SDLC, I'd love to hear from you.
Fill out this form and I'll be in touch with next steps…