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DORA metrics are lying to you and AI is making it worse

DORA metrics were fine. Then AI showed up.
May 06, 2026

Estimated reading time: 8 minutes

Key takeaways:

  • DORA metrics can improve while your systems become less understood. Faster delivery creates false confidence when AI is generating code nobody fully comprehends.
  • The blind spot isn’t delivery, its legibility: DORA measures work flowing through the pipe, not whether anyone can explain what’s in it.
  • Stop making DORA carry work it wasn’t built for!

For over a decade, DevOps Research and Assessment (DORA)  metrics have been the closest thing software engineering has to a universal language for measuring delivery performance.

Deployment frequency, lead time for changes, change failure rate, and mean time to recovery – four numbers that could tell you, with reasonable confidence, whether a team was shipping well or struggling.

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