Scaling AI Adoption in Engineering: A Practical Framework for Leaders

Bol

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

Amazon

Pagina's: 275, Paperback, O'Reilly Media