The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It
2026-02-11
4 min read
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Endigest AI Core Summary
This post introduces Just-in-Time Tests (JiTTests), an AI-driven testing approach designed to keep pace with agentic software development.
- •Traditional testing relies on static, manually authored test suites that require constant maintenance and struggle with false positives as code change velocity increases.
- •JiTTests are generated on-the-fly by LLMs the moment a pull request is submitted, targeting regressions introduced by a specific code change.
- •The process infers the intent of a change, creates mutants (deliberately faulty code versions) to simulate failures, then generates and runs tests against those mutants.
- •Rule-based and LLM-based assessors work together to filter out false positives and surface only true regression signals.
- •Tests are not stored in the codebase, eliminating maintenance overhead and requiring human review only when an actual bug is caught.
Tags:
#DevInfra
#ML Applications
