AfterVibe: Recovering Natural-Language Specs from Vibe Coding Sessions

Jul 14, 2026

AfterVibe is a framework that extracts abstract natural-language specifications from AI-assisted coding sessions by analyzing both the code and the conversation that produced it. The framework validates these specs through a regeneration test, where a separate AI agent re-implements the code from the spec alone, achieving a mean regeneration score of 5.06 out of 6.0 on 72 real-world projects. The specs are shown to be both abstract and strong, outperforming existing human-authored descriptions and supporting iterative refinement.

Why it matters: AfterVibe demonstrates that natural-language specifications can effectively capture developer intent and may serve as a primary review artifact as AI-generated code becomes more prevalent.

Full story at: arXiv Software Engineering ↗