VibeScaffold

About VibeScaffold

VibeScaffold generates the planning documents that AI coding tools skip, on the observation that vibe coding makes projects easy to start and nearly impossible to finish — you get roughly 80% of the way there and then hit a wall of vague requirements, hallucinated defaults, and context scattered across a chat history that the agent cannot hold. You describe your idea in plain English, an AI interviewer asks the questions that fill in the gaps, and you download four documents that feed into each other: ONE_PAGER.md capturing problem, audience, and MVP scope; DEV_SPEC.md with the technical decisions about auth, data model, and architecture forced up front; PROMPT_PLAN.md, a step-by-step sequence of prompts with TDD checkboxes and acceptance criteria you paste one at a time; and AGENTS.md, the persistent context file the agent references every session. The result is that instead of forty-seven messages of rebuilding and re-breaking auth, each step has a defined 'done' and a test that proves it. The output is tool-agnostic markdown, so it works with Claude Code, Cursor, Copilot, or any other AI coding tool rather than locking you into a platform, and the project is on GitHub. The site frames the failure it is solving in three parts: no clear spec, so the agent fills gaps with hallucinated defaults; fragmented context, so the agent cannot hold the project across sessions; and an undefined notion of 'done', so every fix breaks something else. The four documents map one-to-one onto those three failures.

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