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E2E Tests Die in 3 Sprints: The Cache Mental Model That Keeps Them Alive

Build an E2E suite. Watch it crumble after three sprints. The fix? Treat locators as caches, not unbreakable contracts.

Diagram showing locators as cache layer over AI intent resolution in E2E tests

⚡ Key Takeaways

  • Treat E2E locators as caches, not contracts — intent is the source of truth.
  • AI heals cache misses by re-resolving elements, auto-updating for speed.
  • This mental model future-proofs tests against rapid UI changes from AI agents.

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Aisha Patel
Written by

Aisha Patel

Former ML engineer turned writer. Covers computer vision and robotics with a practitioner perspective.

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Originally reported by dev.to

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