How to vibe codeSupernotes

Prerequisites

• Node.jsfree

  Required runtime for Next.js development and package management

• GitHubfree

  Source code control and deployment pipeline integration

AI coding tools

• Claude Code

  Autonomous multi-file agentic coding for scaffolding the editor, database schema, and WebSocket sync layer

• Cursor

  Iterative UI refinement for the sidebar, graph view, and card layout components

Build guide

1. 01Project Scaffolding and Database Schema

   Initialize the Next.js application, configure Tailwind CSS with custom typography, and set up the Turso SQLite database schema for atomic cards, multi-parent relationships, and bi-directional links.

   Scaffold a new Next.js project using TypeScript and Tailwind CSS. Set up Turso database connection via libSQL. Create database migrations and models for 'cards' (id, content, character_count, color, tags, targeted_date, created_at, updated_at), 'card_parents' (card_id, parent_id for multi-parent nesting), and 'card_links' (source_id, target_id for bi-directional graph connections). Ensure proper indexing for fast recursive querying of nested cards.

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2. 02Atomic Notecard Editor and Markdown Parser

   Build the core notecard component featuring a 1,200 character soft limit indicator, Markdown rendering, LaTeX math support, and keyboard shortcut listeners for rapid card creation.

   Create a React component for the atomic notecard with a live character count indicator warning when approaching or exceeding the 1,200 character soft limit. Integrate a Markdown parser with support for LaTeX math equations, checklists, and inline tables. Implement global keyboard shortcuts that instantly trigger new card creation and navigation across cards without touching the mouse.

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3. 03Real-Time Multiplayer Collaboration

   Integrate Liveblocks with Yjs to enable real-time co-editing, remote cursor tracking, and presence indicators for shared notecards.

   Integrate Liveblocks and Yjs into the Next.js frontend to power real-time multiplayer collaboration on individual notecards and collections. Implement live cursor tracking showing collaborator avatars, active presence indicators, and conflict-free concurrent editing for Markdown text inputs.

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4. 04Knowledge Graph Visualizer

   Develop an interactive 2D graph view using Canvas or D3.js to render bi-directional links between notecards dynamically.

   Build an interactive 2D graph visualization component using D3.js or canvas-based rendering that fetches all notecards and their bi-directional links. Render nodes color-coded by their assigned card color and edges representing links. Allow clicking any node to center the viewport and navigate directly to that notecard.

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5. 05Offline-First Storage and Sync

   Implement client-side caching with IndexedDB to support offline creation and editing, with automatic queue reconciliation upon reconnection.

   Implement an offline-first storage layer using IndexedDB (via Dexie.js) to cache all user cards locally. When offline, queue mutations (create, update, delete) in a persistent sync queue. When network connectivity is restored, automatically replay queued mutations against the Turso backend and resolve merge conflicts gracefully.

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6. 06Calendar Heatmap and Task Views

   Add activity heatmap calendar views and automated task extraction collectors to aggregate open action items across all cards.

   Build a calendar heatmap view that aggregates note creation and interaction counts per day, allowing users to drag and drop notecards onto dates to assign targeted dates. Create a dedicated 'Tasks Collection' view that parses all markdown checklists across cards and displays open action items in a centralized review interface.

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7. 07AI Proofreading and Polish

   Integrate the Vercel AI SDK to provide optional smart tagging, grammar checking, and organizational improvement suggestions for notecards.

   Integrate the Vercel AI SDK into the editor interface to provide opt-in AI superpowers. Add a button that sends the current notecard content to an LLM endpoint to suggest relevant tags, identify typos, and offer concise structural improvements without overwriting original text automatically.

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