VibeMap
Describe your idea. VibeMap turns it into a linked, production-ready spec — personas, user stories, schema, pages — that your AI coding agent can actually build from.
Free. No credit card.
Why Vibe Coding Fails
The first prompt feels like magic, a working screen in minutes. Then the AI starts generating conflicting files, duplicating logic, and leaving dead code where features used to be. The thing that came together in an afternoon now takes weeks to untangle. Every session starts from zero and you burn tokens re-deriving choices you already made.
AI generates conflicting files and bloated code. Re-writes pile up, dead code accumulates, and the codebase rots.
Features, schemas, and flows are defined upfront — so AI builds it right the first time, with one source of truth.
The prototype comes together fast, but production takes months. Rewrites, edge cases, and shifting scope drain time and budget.
Plan for scale upfront with full acceptance criteria, error scenarios, and data constraints. Ship confidently.
LLM context windows fill with stale info. Team members lose track of what's decided versus what's changed.
One living blueprint keeps humans and AI aligned. Context stays relevant as your product evolves.
Planning on the fly means re-explaining context every prompt. The IDE racks up tokens and wasted hours re-deriving decisions you already made.
A structured blueprint feeds AI exactly what it needs — once. Fewer tokens, fewer retries, faster builds, and a far smaller bill.
How VibeMap can 10x your productivity
In Vibemap, you chat with your requirements, not your codebase. Your idea will change. It always does. The question is where you absorb that change: in the spec, or in 40 files of generated code.
Iterate on requirements in seconds. Ask, refine, ask again, then hand your IDE one batched, settled change instead of grinding through a slow round-trip for every prompt.
plan · prepare · build
Each stage hands off to the next without losing the thread: every feature, story, and table stays linked to the idea that created it. Use the plan as context in your IDE or any other MCP-connected service, or build it directly in VibeMap.
Product Manager
01Plan
One paragraph in. VibeMap generates the personas, features, user stories, acceptance criteria, pages, and database schema, then links every one back to the artifact that justified it.
full transparency and traceability — every artifact traces to the persona, story, or rule that created it
02Prepare
The assets don’t arrive as a flat list. VibeMap sequences them into a sprint plan: what to build first and what depends on what, so you start with an order, not a pile.
fully automated, or human-in-the-loop — take the plan as generated, or steer any decision before you build
03Build
The VibeMap MCP server is the single hub every tool plugs into. Your IDE and coding agents pull each acceptance criterion and build it test-first, while your LLMs read the same context to reason. When it’s ready, the whole runnable app publishes to your own GitHub, Supabase, and Vercel — no copy-paste, no stale context, no lock-in.
test-driven by design — every acceptance criterion becomes a test before it becomes a line of code
VibeMap
your context
MCP
one protocol
LLMs
IDEs
deploy targets
Free. No credit card.
Features
A structured 300-word summary with target users, non-goals, and constraints.
Works with your favorite tech
who it’s for
Whether you’re shipping solo, scaling a startup, or proposing client work — start smart, not from scratch.
pricing
Start free — no credit card required. Upgrade when you need more.
Free
Explore the blueprint workflow and get started with your first project.
$19/month
More features, projects, and tokens for production-ready projects.
$49/month
Unlimited projects, frontier models, MCP/API access, and priority support.
$79/month
Share projects, billing, and a shared token budget across your whole team — one subscription, unlimited seats.
$199/month
Frontier reasoning with Claude 4 Opus, manual model selection, SSO, DPA, and dedicated support.
from the journal
acceptance criteria
Acceptance criteria are the guardrails that turn AI coding tools from chaotic into reliable. Here's the complete Gherkin playbook: when to use Given/When/Then, how to cover edge cases, and the exact prompts that generate production-grade criteria from user stories.
AI app architecture
The real guide to AI-generated app architecture — how to produce a scalable Next.js or React project structure, relational schema, and component inventory from a prompt without getting generic scaffolding. With working examples and prompt templates.
AI code generation
A catalogue of real failure modes in AI-generated code — component duplication, schema drift, missing failure paths, and more — with code examples and how structured planning stops each one before it ships.
faq
Your first linked spec is about 30 minutes away.
Free. No credit card.
