LogRocket outlines AI-ready frontend architecture guardrails for agent-written code

LogRocket published a guide titled A developer’s guide to designing AI-ready frontend architecture on January 15, positioning AI coding agents as active contributors inside frontend repositories. The post references agent-enabled IDE tools like Cursor and Antigravity as examples of systems that generate components and refactors directly in React/JSX codebases.

To illustrate convention drift, the guide contrasts form-handler names like handleSubmit, onFormSubmit, and submitForm, and ties that inconsistency to AI pattern-matching behavior when producing new UI features. It also points to business logic leaking into JSX, including API calls inside a useEffect in a SubmitFeedback component, plus validation logic and permission checks scattered through render paths. For testing, it calls out brittle suites that lean on full-tree snapshots and heavy mocking, which can break during routine refactors.

As a concrete guardrail, the article recommends a root-level guidelines.md that encodes stack decisions such as Next.js 14+ (App Router), TypeScript 5+ with strict: true, and Tailwind CSS-only styling. Its example contract also names TanStack Query for server state, Zustand (or React Context) for global state, React Hook Form + Zod for forms/validation, and an OpenAPI-generated typed API client that bans direct fetch outside adapters.