The Three Failures Your AI Coding Tool Won't Tell You About

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Author: Yurii Chudinov Date: April 24, 2026 Status: Engineering Note, Structural Hypothesis Companion papers:

  • [Chudinov, 2026a] SMRA (DOI: 10.5281/zenodo.18980854)
  • [Chudinov, 2026b] The Engineering Approximation Stack (DOI: forthcoming)
  • [Chudinov, 2026c] The Kleene Admission (DOI: forthcoming)

Scope of This Note

This note is a companion to the SMRA paper (Chudinov, 2026a). SMRA was a controlled experiment with dozen evaluated runs across eight models and three vendors. This note is not. It catalogues four recurring failure modes in AI-assisted development and argues they share one root cause. The reasoning is mechanistic and leans on the Engineering Approximation Stack and the Kleene Admission (Chudinov, 2026b, 2026c). The claims are not yet backed by a measurement protocol of SMRA's form. Empirical work on the decision-table coverage gap and the invariant-survival rate under iterative generation will follow.

Read this as a position piece on why the four failures keep happening, not as a benchmark of...

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