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The gauge broke: devs felt 20% faster with AI, measured 19% slower

The gauge broke · intrepidkarthi

intrepidkarthi.com

July 2, 2026

6 min read

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46/100

Summary

A controlled trial found that experienced developers felt about 20% faster while actually working 19% slower when using AI tools. AI increases typing speed but introduces overhead, prompting, waiting, and reviewing output, which can hinder productivity for experts in familiar codebases.

Key Takeaways

  • A controlled trial found that experienced developers felt about 20% faster using AI tools, but were actually 19% slower in measured performance.
  • The study indicated that the perception of speed among developers was misleading, particularly for experienced individuals working in familiar codebases.
  • Analysis of over 10,000 developers showed that while pull requests and code churn increased significantly, there was no net change in delivery, indicating a decline in delivery stability.
  • The increase in AI-generated code led to higher verification costs, resulting in reviewer burnout and a shift in bottlenecks from generation to review.
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Community Sentiment

Mixed

Positives

  • AI has significantly boosted productivity for certain repetitive tasks, allowing developers to focus on more complex and creative aspects of their work.
  • The integration of AI tools has the potential to streamline mundane coding tasks, which can lead to faster project completion in the right contexts.
  • AI's ability to gather context from various sources can enhance understanding and decision-making, making it a valuable tool for developers.

Concerns

  • The studies on AI's impact on productivity are flawed, as they fail to account for the variability in tasks and the changing nature of developer work.
  • Many developers report that while AI can speed up certain tasks, it can also slow down others that require deep contextual knowledge and understanding.
  • There is skepticism about the reliability of AI-generated code, with concerns that it may introduce errors and require extensive verification, negating perceived productivity gains.

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