Onlook Tutorial: Visual-First AI Coding for Next.js and Tailwind

Learn how to use onlook-dev/onlook to design and edit production-grade React apps visually while keeping generated code in your repository.

Why This Track Matters

Onlook is a leading open-source visual-first coding environment that combines AI chat, live DOM editing, and direct code updates for Next.js + Tailwind projects.

This track focuses on:

• starting projects in hosted or local Onlook environments
• understanding visual edit -> code writeback architecture
• using AI/chat workflows while preserving code ownership
• contributing to and operating Onlook in team contexts

Current Snapshot (auto-updated)

• repository: onlook-dev/onlook
• stars: about 25.9k
• GitHub release reference: v0.2.32 (checked 2026-06-15; release metadata on GitHub)

Mental Model

flowchart LR
    A[Prompt or Visual Edit] --> B[Onlook Editor]
    B --> C[Live App Preview iFrame]
    C --> D[Element-to-Code Mapping]
    D --> E[AST/Code Writeback]
    E --> F[Versioned Changes in Repo]

Chapter Guide

Chapter	Key Question	Outcome
01 - Getting Started	How do I start using Onlook quickly?	Working baseline
02 - Product and Architecture Foundations	How does Onlook connect visual editing to real code?	Strong architecture understanding
03 - Visual Editing and Code Mapping	How are visual changes translated into source code?	Better editing confidence
04 - AI Chat, Branching, and Iteration	How should I run prompt-driven workflows safely?	Reliable iteration flow
05 - Local Development and Runtime Setup	How do I run and debug Onlook locally?	Contributor baseline setup
06 - Deployment and Team Collaboration	How do teams ship and share projects built in Onlook?	Delivery workflow model
07 - Contributing and Quality Workflow	How do I contribute safely to Onlook itself?	OSS contribution readiness
08 - Production Operations and Governance	How do organizations adopt Onlook responsibly?	Adoption and governance runbook

What You Will Learn

• how to use Onlook as a visual coding interface without code lock-in
• how visual interactions are mapped and written back to source code
• how to run local development and contribute to the project
• how to adopt Onlook with reliable team workflows and controls

Source References

• Onlook Repository
• Onlook README
• Onlook Docs
• Onlook Architecture Docs
• Onlook Running Locally
• Onlook Developer Docs

Related Tutorials

• Dyad Tutorial
• Bolt.diy Tutorial
• Vercel AI Tutorial
• Serena Tutorial

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Start with Chapter 1: Getting Started.

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Full Chapter Map

1. Chapter 1: Getting Started
2. Chapter 2: Product and Architecture Foundations
3. Chapter 3: Visual Editing and Code Mapping
4. Chapter 4: AI Chat, Branching, and Iteration
5. Chapter 5: Local Development and Runtime Setup
6. Chapter 6: Deployment and Team Collaboration
7. Chapter 7: Contributing and Quality Workflow
8. Chapter 8: Production Operations and Governance

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