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 in 2026

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