Build a Chrome extension with AI by describing the browser behavior as a permissioned system, not just a popup interface. Define the exact pages it may touch, the user action that starts it, the data it reads or writes, and what must remain local. Then ask the agent for a minimal architecture.
Separate the extension into browser contexts: the visible UI, page-level logic, background work, storage, and any remote service. Specify the messages exchanged between them and validate every message at its receiving boundary. Grant only the host and browser permissions required for the first feature. Test installation, updates, disabled permissions, restricted pages, multiple tabs, browser restarts, and offline behavior. Have the agent explain every manifest entry and generate a repeatable packaging command rather than editing the package by hand.
Review privacy and security before store submission. Check whether page content, credentials, or browsing data can enter logs or external requests. Confirm current browser documentation and marketplace policies because manifest requirements and review rules can change. A passing build is not proof that the extension is eligible for distribution.
Start with an unpacked development build that performs one visible action on one allowed site. Keep a short manual test script beside automated checks. Once permissions, message boundaries, and failure states are clear, AI can help extend the feature without turning the extension into an opaque bundle.
