Regression testing (LLM)

Running automated checks to ensure a change doesn’t reintroduce past bugs or quality drops in model behavior.

When to use it

  • Every prompt/model/corpus change going to production.
  • Rolling out new tool integrations or schemas.
  • Upgrading model versions or providers.

PM decision impact

Regression tests protect reliability and reduce firefighting. PMs decide thresholds for blocking releases and how to weigh quality versus latency/cost impacts. Strong regression suites increase shipping cadence and stakeholder confidence.

How to do it

Reuse your golden set, add assertions for safety, format, and latency. Automate in CI; fail builds on critical regressions. In 2026, add differential tests that compare old vs. new paths and show deltas on cost and speed alongside accuracy.

Example

A model upgrade improves accuracy but adds 300 ms. Regression tests flag the latency hit; PM approves because SLA is 1.8 s and quality gain is worth it, avoiding a rollback loop post-launch.

Common mistakes

  • Testing only accuracy, ignoring latency or cost regressions.
  • Allowing flaky tests that teams start ignoring.
  • Not updating tests after major UX or policy changes.

Related terms

Learn it in CraftUp

Last updated: February 2, 2026

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