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.