Breaking the AI Productivity Paradox

AI-powered development tools promise radical gains in speed and quality, yet real productivity improvements often lag expectations. This book unpacks why, from learning curves and trust issues to workflow friction and misguided metrics, and lays out how to turn the hype into tangible results across the software development lifecycle.

What’s inside

1. The productivity paradox in AI development
2. The new wave of AI-powered development tools
3. Why productivity gains aren’t guaranteed
4. Case study: navigating initial adoption challenges
5. Case study: embracing an AI agent
6. Technical strategies for integrating AI into the development lifecycle
7. Aligning AI tools with DevOps pipelines and workflows
8. Governance and risk management for AI development tools
9. The human factor: managing change, skills and team dynamics
10. Measuring productivity and ROI in the age of AI
11. From pilot to platform: a playbook for scaling AI adoption
12. Sustaining the advantage and looking ahead

Who it’s for

Engineering leaders, CTOs and managers whose AI tool rollouts haven’t yet delivered the gains they expected.