Everyone Thinks AI Makes Coders Faster. 22,000 Devs Say Otherwise.
📰 Dev.to AI
Despite expectations, AI may not make coders faster, with 22,000 devs reporting no productivity increase, and companies like Uber and Amazon experiencing unexpected outcomes
Action Steps
- Evaluate your team's current AI tool usage and its impact on productivity
- Run experiments to measure the effectiveness of AI-powered coding tools
- Configure your development environment to track and analyze AI tool usage
- Test alternative workflows that combine human coding with AI assistance
- Compare the results of AI-assisted coding with traditional coding methods
Who Needs to Know This
Developers, software engineers, and DevOps teams can benefit from understanding the limitations and potential drawbacks of AI-powered coding tools, to set realistic expectations and optimize their workflows
Key Insight
💡 AI-powered coding tools may not always lead to increased productivity, and their usage can be gamed or misused
Share This
💡 AI coding tools may not be the productivity silver bullet you thought. 22,000 devs say otherwise
Key Takeaways
Despite expectations, AI may not make coders faster, with 22,000 devs reporting no productivity increase, and companies like Uber and Amazon experiencing unexpected outcomes
Full Article
Uber burned through its entire 2026 AI coding budget in four months. The measurable productivity increase? None. Amazon quietly shut down an internal leaderboard that tracked AI tool usage after engineers started gaming it — racking up AI calls to look productive. And in February 2026, researchers at METR tried to run a study on AI's effect on developers, only to discover the developers refused to participate without their AI tools. They had to switch to surveys instead. That la
DeepCamp AI