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Build a Chrome Extension

A Chrome / Edge / Brave extension with a popup, a side panel, content scripts, and a backend that stores user data. Useful for productivity tools, scrapers, and AI-augmented browsing.

Repos
14
Layers
8
Build time
A weekend
Outcome
See below
You will ship

A published Chrome extension with a polished popup, settings page, and cloud sync.

01

Build tooling

3 repos
02

UI in popup + side panel

2 repos
03

State + Storage

2 repos
5 more layers · 7 more repos · members only
  • Backend / sync1 repo
  • Extension frameworks2 repos
  • Storage + sync1 repo
  • AI augmentation2 repos
  • Animation + polish1 repo
7 more curated repos · unlock full access · members only

Unlock with lifetime membership.

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See pricing
How to build build a chrome extension with AI

The 4-step AI workflow

The AI agents are good at code. They're bad at deciding what stack to use. This bundle does the second part. You bring the agent.

  1. 1
    Ideate with ChatGPT or Claude.ai (web)
    Paste your idea: “I'm building build a chrome extension. Help me sharpen the product spec — features, edge cases, MVP scope.” Iterate for 10-15 minutes until you have a clear one-page brief.
  2. 2
    Pick your coding agent
    For this kind of bundle, we recommend Claude Code — Sonnet 4.6/4.7 handles full-stack multi-file reasoning best. See the install guide → Cursor and Codex are also great; pick the one you already pay for.
  3. 3
    Feed this bundle to the agent
    Open Claude Code / Cursor / Codex in an empty folder, then paste:
    I'm building build a chrome extension. Use this bundle as the source of truth for the stack:
    https://stackpicks.dev/build/chrome-extension
    
    Brief from my product spec:
    [paste your brief from step 1]
    
    Follow the bundle order strictly:
      1. Build tooling
      2. UI in popup + side panel
      3. State + Storage
      4. Backend / sync
      ...
    
    Stop and confirm with me after each layer.
  4. 4
    Wire one layer at a time, commit between each
    Don't let the agent install everything before the first git commit. One layer = one commit. Catches drift early, easy rollback.

Beyond the bundle

  1. 1Ship the boring version first. The bundle above is the maximalist list. For an MVP, start with 60% of these and add the rest when real users ask.
  2. 2Deploy early. Push to Railway / Vercel after layer 02 (auth) — not after layer 09. Production breaks differently than localhost.
  3. 3Read CLAUDE.md / .cursor/rules in this repo for the project conventions your AI agent should follow.
  4. 4Iterate on the take. If a repo here doesn't fit your specific use case, tell us — contact — and we'll add a better one within 60 minutes.
Build a Chrome Extension — bundle of 14 repos — StackPicks