Vibe developers — people who ship fast with AI assistants like Claude, Cursor, or ChatGPT.
One thing I've learned after years of building: when you hand an AI assistant a well-structured schema upfront, it hallucinates less, asks fewer clarifying questions, and produces far better code. But there was no lightweight, offline-first tool to quickly model a table and export it in AI-ready formats. So I built one.
What I Built
Gnoke DataForge — a browser-based relational schema modeler that runs 100% offline.
You open it, design your tables visually, define column types and constraints (PK, NOT NULL, UNIQUE), and export in formats your AI assistant can immediately use:
.json — flat data format.entity.json — structured entity format ideal for pasting into AI prompts.sql — CREATE TABLE + INSERT statements.sqlite — a real binary SQLite database file.csv — universal fallback
Projects are saved locally via IndexedDB. No account. No server. No telemetry.
Demo
???? Live: https://edmundsparrow.github.io/gnoke-dataforge
Open it, edit the demo table, switch to SQLite mode to define types and constraints, then hit Export — all without leaving the browser.
Code
{% embed https://github.com/edmundsparrow/gnoke-dataforge %}
How I Built It
The entire app is vanilla HTML, CSS, and JavaScript — no framework, no build step.
- SQLite in the browser via sql.js (WebAssembly) — handles
.sqlite export and import
- IndexedDB for local project persistence — each saved table is stored as a real SQLite binary blob
- A custom JSON normalizer that accepts multiple JSON shapes (array of objects, entity format, flat arrays) so importing from AI-generated output just works
- Light/dark theme, mobile drawer, and a skip-intro toggle for repeat visits
The design prioritizes speed: open → build → export → paste into AI. That's the whole loop.
