

AI Hype vs. Reality. Real Stats from Laura Tacho, CTO of DX
21 snips Sep 25, 2025
Laura Tacho, CTO at DX, specializes in developer experience and AI measurement. In this discussion, she debunks AI hype versus reality, emphasizing the importance of data-driven decisions over gut feelings. Laura reveals her AI Measurement Framework and highlights AI's real productivity gains, such as stacktrace analysis and test generation. She also discusses the paradox of AI slowing some developers down and the vital role of documentation in improving workflows. The conversation navigates the balance between skepticism and optimism in AI adoption.
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DX Sees Developer Data Across Big Firms
- Laura describes DX as a developer intelligence platform that gathers qualitative and quantitative developer data.
- She studies metrics across companies like Netflix and Pfizer to guide AI and DevEx decisions.
Fear Drives Premature AI Adoption
- Competitive pressure and talent market fear push many laggard companies into rapid AI adoption.
- Leaders often act from fear of being outpaced or losing engineers, not solely from measured ROI.
Numbers Vary By Measurement Boundaries
- Reported AI productivity numbers vary wildly due to different boundaries and methods.
- Ask who's measured, what was counted, and whether the study samples represent your context.