Ask Claude to Write a Cloudflare Worker from Scratch
Cloudflare Workers run at the edge with zero cold starts — but setting up routing, environment bindings, and TypeScript types still takes more than a few minutes. Let Claude scaffold it.
Write a Cloudflare Worker that acts as an API proxy. Route GET /api/users to my origin at https://api.example.com. Add an Authorization header using an API_KEY environment variable. Return a 404 JSON response for unknown routes.
Claude produces a clean Worker with a router pattern, a typed Env interface, and a wrangler.toml with the binding already defined:
export interface Env {
API_KEY: string;
}
export default {
async fetch(request: Request, env: Env): Promise<Response> {
const url = new URL(request.url);
if (url.pathname === '/api/users') {
return fetch('https://api.example.com/users', {
headers: { Authorization: `Bearer ${env.API_KEY}` },
});
}
return Response.json({ error: 'Not Found' }, { status: 404 });
},
};
From there, ask Claude to add Cloudflare KV caching, Durable Objects for stateful coordination, D1 for a SQLite database at the edge, or a rate limiter using the Workers Rate Limiting API.
# Deploy with Wrangler once your Worker is ready
npx wrangler deploy
Ship logic to the edge without fighting the boilerplate.
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Set up Claude Code as an automated reviewer in your CI pipeline — on every pull request, it reads the diff, checks for bugs, security issues, missing tests, and convention violations, then posts its findings as a PR comment. Your human reviewers get a head start because the obvious issues are already flagged before they look.
Before deploying, tell Claude to read your project — migrations, environment variables, queue workers, scheduled tasks, caching, third-party integrations — and generate a deployment checklist that's specific to your app. Not a generic "did you run migrations?" list, but one that knows YOUR infrastructure and catches the things YOUR deploy can break.
Instead of writing a README from memory or copying a template, tell Claude to read your project and generate one that's actually accurate — real setup instructions from your config, real architecture from your directory structure, real API examples from your routes, and real prerequisites from your dependency files.