The vibe coding problem
You open Cursor, type "build me a SaaS dashboard with auth and billing," and watch it generate 40 files in 30 seconds. Impressive — until you realize the auth flow doesn't match your user model, the billing integration assumes Stripe when you need Paddle, and the database schema has no concept of organizations.
So you prompt again: "fix the auth to support teams." It rewrites half the app. Now billing is broken.
This cycle — generate, discover gaps, re-prompt, lose context — is the core tax of vibe coding. The AI is fast, but it's building from a vague prompt. Every ambiguity in your input becomes a wrong assumption in the output.
The spec is the missing layer
The problem isn't the AI. It's the input. When a senior engineer builds something, they don't start coding from a one-liner. They think through the data model, the user flows, the edge cases, the tech constraints. They build a mental spec before writing line one.
AI tools need the same thing — except they can't build it themselves. They need you to provide it.
A proper spec isn't a 50-page PRD from 2015. It's a structured document that answers the questions AI will inevitably ask:
- —Who are the users and what are their roles?
- —What are the core features and how do they relate?
- —What's the tech stack and why?
- —What does the data model look like?
- —What are the non-obvious constraints?
What changes with a spec
When you hand Claude Code or Cursor a detailed spec instead of a one-liner, the output quality changes dramatically:
- —First-pass accuracy goes up. The AI doesn't have to guess your auth model — it's defined.
- —Iteration drops. Instead of 5 rounds of "no, I meant X," you get it right in 1-2.
- —Context survives. The spec is the single source of truth that persists across sessions.
- —Team alignment. Everyone reads the same spec. No more "I thought we were using Postgres."
This is what Kommit does
Kommit is a visual spec builder. You describe your idea on a canvas of connected nodes — project, audience, features, tech stack, schema. AI guides you through each node with the right questions. It extracts structured data as you talk. Then it generates a complete PRD that any AI coding tool can execute.
The spec becomes the interface between your brain and the machine.
No more prompting into the void. No more losing features on re-generation. No more "it vibes but it doesn't work."
Your spec is only as good as what it captures. Kommit captures everything.