Why Are You Still Using AI to Generate Table Code? 😤

Every time I asked ChatGPT to create a data table, I got the same 200+ lines of code.

Filtering. Sorting. Pagination. Search. Export. Column visibility. Date pickers.

New project? Same prompt. Same code. Same debugging.

I realized something: I was paying tokens for work that never changes.

That's not what AI is for. AI is for creative problems. Repetitive boilerplate should be abstracted away.

So I built TableCraft.

What is TableCraft?

A Drizzle ORM-powered table engine that auto-generates everything from your database schema.

Backend Setup (Hono)

import { Hono } from 'hono'

import { createHonoApp } from '@tablecraft/adapter-hono'

import { defineTable } from '@tablecraft/engine'

import { db } from './db'

import * as schema from './db/schema'



const users = defineTable(schema.users)

  .hide('password')

  .search('email', 'name')

  .sort('-createdAt')



const app = createHonoApp({

  db,

  schema,

  configs: { users },

})



new Hono().route('/api/engine', app)

Frontend Setup (React)

import { DataTable, createTableCraftAdapter } from '@tablecraft/table'



const adapter = createTableCraftAdapter({

  baseUrl: '/api/engine',

  table: 'users',

})



export function UsersPage() {

  return <DataTable adapter={adapter} />

}

That's it. One component. No column definitions.

What You Get

• ✅ Auto-generated columns from schema


• ✅ Server-side filtering, sorting, pagination


• ✅ Global search


• ✅ Date range picker


• ✅ CSV/Excel export


• ✅ Column visibility & resizing


• ✅ URL state sync (shareable links)


• ✅ Role-based access control


• ✅ Soft delete support


• ✅ TypeScript type generation

Available Packages

Save Your Tokens

Next time you need a data table, don't prompt AI.

Just use TableCraft.

🔗 GitHub: https://github.com/jacksonkasi1/TableCraft


📚 Docs: https://jacksonkasi.gitbook.io/tablecraft