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Vibe Coding2026-07-28 · source-backed
An experience paper on a pipeline that takes a natural-language scenario plus captured production traffic, uses the LLM only for semantic interpretation and constrained code synthesis, and hands reliability-critical parts to deterministic algorithms: request filtering, dependency validation by value consistency, assertion-path validation. 85.4% code adoption, 82.4% exact match (42 of 51 scenarios), 98.0% producing usable drafts with minor edits. Two design choices worth copying: bind dynamic values from prior responses rather than hard-coding, and exclude non-deterministic fields from assertions. (arXiv 2607.24000)
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Simon Willison released LLM / Shared entity: LLM / Earlier coverage / Tension
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-07-27.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-06-19.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-06-18.
Simon Willison released LLM / Shared entity: LLM / Earlier coverage
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-06-19.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-07-19.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-07-14.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-06-22.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-06-10.