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Boundary & edge-case testing

Push inputs to limits — very long contexts, token boundaries, empty/extreme values — where behavior tends to degrade sharply.

Published June 26, 2026

How it works

Failures cluster at boundaries: the edge of the context window, unusually long lists, zero/one/many counts, maximum output length. Systematically walking inputs toward these limits exposes degradation that mid-range testing misses.

When to use it

Whenever input size, length, or count varies in production; long-context and structured-output features especially.

Limitations

Boundaries shift between model versions; tests need re-validation after upgrades.

Cite this

Qlarify Labs. (2026). Boundary & edge-case testing. Retrieved from https://labs.qlarify.fi/catalog/boundary-testing