Category
5 articles on Practice — written while building AI-native products, and mostly about the failures that produced no error message.
Five failures on one site produced no error, no warning and no failed check. A structured-data report named four affected pages when thirty-seven were broken, and a clean git push left production serving a three-hour-old build. Each was found by a check aimed at something else, which is how this class of bug surfaces.
Qdex-1.5B was published at 39.0% on HumanEval. An audit of the evaluation harness found the answer extractor discarding correct solutions over output formatting; hardening it and re-running all 164 problems returned 42.1%. Five problems the model had solved were being counted as failures.
Safety is a property of review and testing rather than of authorship — nobody asks whether hand-written code is safe, they ask what was tested. What genuinely differs is volume, plausibility, and the author's weaker familiarity with code they did not type, which together make skimming ineffective. The answer is an audit trail, not an origin story.
Taste is the ability to choose between options that are all technically correct, and it becomes the scarce skill once generation is cheap. A model optimises whichever metric it is given. Deciding which metric is the right one — and recognising when a measurable win is the wrong trade — is the part that cannot be delegated.
I documented that window scroll listeners never fire on this site because the body is the scroll container. Half of that was true: document.body.scrollTop does read 0. The conclusion was not. When I finally measured, a window scroll listener fired 19 times during a single programmatic scroll. The note had been steering design decisions away from working approaches.
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Systemic execution.”
Suman Debnath
·Brand Marketing Leader & AI Product Builder
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