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React Component Generator

Coding Prompts intermediate 0 copies codingdeveloper toolsAI prompts

Creates a practical react result with clear structure, useful constraints, and verification guidance for developers.

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The Prompt

Act as a senior software engineer specializing in react. Context: the user needs help with {component}, {props}, {states}, {accessibility_goal} and expects a solution suitable for the stated project. Task: analyze the supplied requirement, identify important assumptions, then produce a practical implementation or review that solves the specific problem without changing unrelated behavior. Output format: start with a brief approach, then provide the relevant code or structured guidance, followed by tests or verification steps and a short explanation of important decisions. Constraints: keep the solution maintainable, secure, readable, and compatible with the supplied context; do not invent unavailable APIs or dependencies; clearly label assumptions; preserve existing behavior unless a change is explicitly requested; and flag anything that needs human verification.

Use Case

Use this when a developer needs help with react and wants a structured result instead of a generic code answer.

Expected Output

A practical react response with an approach, implementation or review, verification steps, and key decisions.

Example

component: CourseCard; props: title, image, price, enrollmentState; states: available, enrolled, sold out; accessibility_goal: keyboard-accessible action
The response gives a focused react result with clear assumptions, practical implementation guidance, verification steps, and notes about edge cases or risks that should be checked before use.

Tips

  • Include the exact requirement or error
  • Provide relevant surrounding code
  • State the runtime or framework version
  • Test the suggested change before production

Variations

  • Beginner-friendly explanation
  • Production-focused version
  • Minimal-diff implementation

FAQ

Yes, include the relevant code and surrounding context so the response can target the real implementation.

Usually no; provide the smallest set of files or functions needed to understand the task.

No; review, testing, dependency checks, and human validation are still required.

Last updated 28 Sep 2026