A/B Testing LLM Features in Production: Statistical Power
1Key Takeaways
- Originally published on AI Tech Connect .
- Three things to get right before you size a test Your variance is bigger than you think.
- LLM outputs vary session to session even with temperature at zero, because the input distribution — real user phrasing — is far noisier than any offline eval set.
- Underestimate variance and your sample-size calculation will be wrong before you collect a single row.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that originally published on AI Tech Connect .
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