The AI Productivity Paradox
Measuring What Really Matters in Software Development
AI coding assistants are reshaping how software gets built — but the true impact isn’t always positive.
While 81% of developers now use AI and feel more productive, new research reveals growing instability, duplicate code, and shrinking delivery cycles.
Engineering leaders face a new challenge: how to harness AI’s potential without sacrificing quality, maintainability, or team velocity.
What You’ll Learn
- How to measure AI’s impact beyond surface-level productivity metrics
- Why bad developer experience signals hidden risks in your workflow
- Practical strategies to reduce technical debt in AI-assisted teams
- A roadmap for sustainable AI adoption that balances speed and stability
Download the eBook to uncover the real cost of AI-driven development — and how to lead your team toward smarter, more sustainable innovation.