AI Isn’t Making Developers More Productive – It’s Making Them Busier
What happened
A new study from MIT and the Wharton School of Business, analyzing over 100,000 GitHub developers, reveals that AI coding tools are making developers busier rather than more productive. While task-level coding activity has significantly increased, the bottleneck has shifted from code generation to evaluation, review, and release processes.
Why it matters
Engineering managers must shift their focus from raw code generation speed to optimizing the entire software development lifecycle, addressing the 65% of development time spent on non-coding tasks like review and integration, to achieve true productivity gains from AI coding tools.
Topics
- AI Coding Tools
- Developer Productivity
- Software Development Lifecycle
- Code Review
Articles in this trend
- AI isn’t making developers more productive – it’s making them busier — LeadDev
- Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools — Metadata
- Quoting Andrej Karpathy — Simon Willison's Weblog
- Look in the Mirror. Stop Blaming AI. — AI on Medium
- Why Employees Aren’t Transparent About Their AI Usage — Feeds - HBR.org
- Coding Was Never the Whole Job. AI Is Proving It — HackerNoon
- Agentic AI: What Leaders Wish They Knew Sooner — MIT Sloan Management Review
- US workers are the world's biggest AI skeptics - and it's not just about job loss — News and Advice on the World's Latest Innovations | ZDNET
- Employees spend more time managing AI than producing work — Information and Enterprise Technology News | CIO Dive - Www.ciodive.com
- Learning to lead in a hybrid human-AI enterprise — MIT Technology Review
- AI usage among white-collar workers and students in Hong Kong: survey findings — McKinsey Insights & Publications
- Babysitting the Machine: Glean's Rebecca Hinds on the Hidden Human Labor of AI at Work — The Cognitive Revolution