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AI Coding AssistantsZenn AI/MLPublished: Oct 22, 2026, 01:00 JST

Guide sets up AI-ready web stack with AGENTS.md and Cloudflare Workers

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Guide sets up AI-ready web stack with AGENTS.md and Cloudflare Workers

3 Key Points

  1. What happened

    A Zenn guide describes a two-track stack — React + Vite + React Router with Supabase for SaaS and internal tools, Astro for landing pages — unified on TypeScript, pnpm and Cloudflare Workers, with AGENTS.md giving AI agents project rules.

  2. Why it matters

    The guide argues that completing the setup before feature development lets teams focus on implementation, with AGENTS.md as the single place to state stack, coding rules and security constraints for AI agents.

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Context & Analysis

The guide's structure follows the order a new project actually moves: local tools, UI and code-quality setup, database, AI instructions, repository, hosting, CI/CD, production settings and first release. Each phase ends with a concrete check, so the reader can confirm the environment works before inviting an AI agent to write features. The two-track split matters because the demands differ: a SaaS app needs routing, database and authentication, while a landing page can stay largely static. In both cases the guide keeps the number of moving parts low by relying on managed services and avoiding a custom API server or ORM. A recurring theme is separation — production data is never put into development, environment variables starting with VITE_ are treated as public, and migrations are run as a separate step from frontend releases. The AGENTS.md file is presented as the contract that keeps AI-generated changes inside these boundaries, with lint, type check, tests and review still applied to whatever the agent produces.

FAQ
What are the two application tracks in the guide?
For admin panels, business systems and SaaS: React + Vite + React Router with Supabase PostgreSQL and Auth. For landing pages and corporate sites: Astro, with Supabase generally not needed.
What is AGENTS.md used for?
It is placed at the repository root and holds shared instructions for AI agents — technology stack, development rules, security, database and quality checks — so agents do not receive ambiguous directions.
When does the guide say to start real feature development?
Only after the environment is verified working: local install, type check, lint, build, GitHub private repo, CI success, Cloudflare deploy, custom domain HTTPS and Supabase RLS checks.
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