AfterVibe is a framework that extracts natural-language specifications from AI-assisted coding sessions by using an LLM to analyze code and conversation history, then validates specs through regeneration tests where a blind agent re-implements the code from the spec alone. Tested on 72 real-world projects, the recovered specs achieved high regeneration scores while remaining implementation-agnostic, suggesting specifications could become primary artifacts for review in AI-assisted development.