The spec layer that makes vibe coding production-ready.The spec layer thatmakes vibe codingbuildable.buildable.linked.production-ready.predictable.

Spec-driven development is a way of building software where a structured specification, not the prompt history or the code, is the source of truth an AI coding agent builds from. VibeMap writes that specification for you. Instead of drafting markdown specs by hand, you describe the product and VibeMap generates linked personas, user stories, acceptance criteria, pages, and schema, then keeps them consistent as you change them. The full definition is at vibemap.ai/blog/spec-driven-development, and how VibeMap runs the workflow end to end is at vibemap.ai/ai-product-planning.

Yes. VibeMap publishes an MCP server (@vibemap.ai/mcp-server on npm) that connects your spec directly to MCP-compatible agents like Cursor, Claude Code, and Windsurf. The agent reads personas, user stories, acceptance criteria, and database schema straight from your VibeMap project — no copy-pasting context into prompts. This keeps the agent grounded in one source of truth while it builds. MCP access is open on every VibeMap plan, including Free.

Lovable, Bolt, and Base44 generate working prototypes directly from a prompt. VibeMap starts upstream: it produces the linked specification — personas, user stories, acceptance criteria, pages, and schema — that those tools or your own AI coding agent build from. On Pro and above, the VibeMap App Builder can also compile that spec into a running Next.js and Supabase app pushed to your own GitHub repo, so the code starts from a reviewed spec rather than a prompt. The practical difference shows up in month two: a prototype built from a prompt has no artifact explaining why it works the way it does, while a VibeMap spec does. Detailed comparisons are at vibemap.ai/alternatives.

VibeMap has five tiers, billed monthly or yearly: Free at $0, Starter at $19 a month or $182/yr, Pro at $49 or $470/yr, Team at $79 or $758/yr, and Enterprise at $199 or $1,910/yr. Every paid plan has a 14-day free trial on monthly billing: card required, nothing to pay if you cancel before day 14. Yearly costs about 20% less; promo codes apply to monthly plans only. The Free plan needs no credit card and covers one project with the core pipeline — summary, personas, features, user stories, and acceptance criteria. Starter adds pages, sections, schema, the Blueprint map, and the conversational agent. Pro adds the App Builder, sprint planner, dependency graph, stack proposal, and system design spec. Team adds shared workspaces; Enterprise adds the biggest allowance and frontier models. Or try vibemap.ai/demo without signing up.

This is the standard failure mode of credit-metered AI app builders, and VibeMap's design avoids most of it. Most of what VibeMap generates is specification, so a wrong answer is usually a paragraph you edit by hand rather than a build you re-run. The App Builder on Pro and above does generate code, but it first shows a free build plan of what it will compile and which pages need AI, before any tokens are spent, and it type-checks and repairs its own output before pushing. Any authoring your own coding agent does over MCP costs nothing from your VibeMap budget. You are billed when VibeMap generates, not when you correct it.

On paid plans, no. Your inputs and generated outputs are not used by VibeMap or by VibeMap's LLM providers to train foundation models, and this is enforced at the gateway: paid inference is routed through OpenRouter with a no-data-collection policy that restricts routing to upstream providers whose own policy is not to log or train on prompts. The full detail, including what applies on the free tier, is in the VibeMap privacy policy at vibemap.ai/privacy.

A complete first pass in VibeMap takes 10 to 30 minutes. You sign in, click New Project, and describe the product in plain English. VibeMap asks a few clarifying questions about target users, technical stack, and constraints, then runs a multi-step pipeline that produces the blueprint: personas, features, user stories, acceptance criteria, pages, and schema. Artifacts stream in as they are generated, so you can read the personas while the stories are still being written. Refining the result through the conversational agent typically takes another 15 to 30 minutes.