How to vibe codeGlide

Prerequisites

• Node.jsfree

  Required runtime for running the Next.js development server and package manager.

• GitHubfree

  Source control and automated deployments to hosting platforms.

AI coding tools

• Claude Code

  Terminal agent best suited for scaffolding complex multi-file Next.js architectures and debugging relational query engines.

• Cursor

  Ideal for fine-tuning the reactive layout builder UI, component property panels, and complex Tailwind CSS styling.

Build guide

1. 01Project Scaffolding & Database Schema

   Initialize the Next.js application with TypeScript, Tailwind CSS, and Drizzle ORM connected to Neon Postgres. Define core data models for apps, tables, columns, rows, and component layouts.

   Initialize a new Next.js 16 project with Tailwind CSS, TypeScript, and Drizzle ORM configured for Neon Postgres. Create database schema tables for 'applications' (id, name, owner_id), 'tables' (id, appId, name), 'columns' (id, tableId, name, type: text|number|boolean|relation|computed), and 'rows' (id, tableId, data as JSONB). Set up better-auth with email/password authentication. Ensure proper foreign key constraints and export a fully typed Drizzle client instance.

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2. 02Spreadsheet-Style Data Grid & Table Editor

   Build a responsive data editor interface that displays table rows and columns dynamically, allowing users to add, edit, and delete records with type validation.

   Build a dynamic table data editor component in Next.js using shadcn/ui table elements. The interface should fetch rows for a given table, render cells based on column types (text, numbers, booleans, dates), and support inline cell editing that saves changes via Server Actions. Include buttons to add new rows and delete existing rows with optimistic UI updates handled through React state.

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3. 03Computed Columns Engine

   Implement a calculation engine that processes computed columns like Math, If-Then-Else, Template strings, and Lookups over row datasets.

   Implement a computed columns evaluation utility in TypeScript. Given a row's data object and a definition of computed columns (e.g., 'math' formulas using mathjs or basic eval, 'template' string interpolation like 'Hello {name}', and 'if-then-else' conditional logic), compute the resulting value dynamically on read or when parent fields update. Integrate this computation layer into the table data grid view so computed columns render automatically.

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4. 04Visual Layout Builder & Component Renderer

   Create a drag-and-drop or configuration-based layout builder where users can arrange pre-built components (Lists, Details, Forms, Cards, Charts) tied to a data source.

   Build a visual layout editor for applications where users can define screens and attach layout components (List collection, Detail view, Form container, Metric card). Create a runtime renderer component that takes a layout configuration JSON and a selected table dataset, rendering fully functional UI components using shadcn/ui primitives. Include a property inspector sidebar to configure component mappings to specific table columns.

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5. 05Row Ownership & Visibility Security

   Enforce row-level security and user-specific visibility rules so records are filtered based on the logged-in user's profile.

   Implement row-level security and user ownership filters in the application builder. Add a 'Row Owner' configuration option to tables where specific columns designate the assigned user ID. Update the data fetching and rendering pipeline so non-admin users only see rows where the row owner matches their session user ID. Test this with multiple user accounts.

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6. 06AI Integration Layer

   Integrate OpenAI to provide automated column transformations and AI agent capabilities directly within the app data pipeline.

   Create an AI column transformation service using the OpenAI API SDK. Implement server actions that take text input columns from a table row, send them to GPT-4o-mini with custom prompts (e.g., summarization, text extraction, sentiment classification), and write the resulting output back into a designated destination column. Build a UI trigger button in the data editor to run AI transformations on selected rows.

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Cost vs paying for Glide