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CursorBuilding Features

Cursor Prompts for Building Features

Cursor is an AI code editor: it lives in your editor, reads your codebase, and edits multiple files from a single instruction. The difference between a one-shot feature and an afternoon of cleanup is almost always the prompt—how much context you give it, how tightly you scope the task, and whether you've taught it your conventions with a .cursorrules file. These prompts show exactly how to brief Cursor's agent so it ships code that fits your project.

Last updated · By the Prompt Orange team

Prompt examples you can copy & use

Build a feature with full context

Before

add login

Too vague—AI has to guess what you want

After

Add email/password login to this Next.js app. Context: @app/layout.js @lib/auth.js. Steps: 1) create a /login route, 2) a server action that calls our existing auth helper, 3) inline error states. Match the styling in @components/HomepageContent.jsx. Don't add new dependencies. When done, list every file you changed.

Specific, clear, ready to use

Write a .cursorrules file

Before

make cursor follow my style

Too vague—AI has to guess what you want

After

Write a .cursorrules file for this repo. Stack: Next.js 16 App Router, React 19, Tailwind, plain JS (no TypeScript). Conventions to enforce: data-driven pages from files in /data, server components by default, no new dependencies without asking, British English in copy. Keep it under 30 lines and phrase each rule as a short imperative.

Specific, clear, ready to use

Refactor without breaking behaviour

Before

clean up this file

Too vague—AI has to guess what you want

After

Refactor @components/Foo.jsx to extract the filtering logic into a custom hook. Constraints: do NOT change the rendered output or the props, keep it a client component, and add no new dependencies. Show me a diff first and wait for approval before editing.

Specific, clear, ready to use

Debug from an error

Before

fix this error

Too vague—AI has to guess what you want

After

I'm getting this error: [paste stack trace]. Before changing anything, explain the most likely root cause in 2 sentences and which file it's in. Then propose the smallest fix. Don't refactor unrelated code.

Specific, clear, ready to use

Tips for using Cursor for building features

@-mention the exact files Cursor needs—it guesses badly when it has to search for context

Keep a .cursorrules file in the repo root so the agent follows your conventions on every prompt

Ask for a plan or a diff before edits on anything non-trivial; review, then approve

Break big features into small, goal-driven prompts—one giant prompt causes drift and silent breakage

Always review changes to auth, payments, and database schemas yourself before accepting them

Frequently asked questions

What's the best way to prompt Cursor for building features?

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Set a clear role for Cursor ("you are a senior copywriter / engineer / analyst…"), describe the situation in two or three sentences, then list the constraints — length, tone, format, things to avoid. The example prompts above follow this pattern exactly.

Why does Cursor produce different output every time?

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Cursor samples from a probability distribution, so identical prompts can produce different results. Reduce variance by being more specific: name the audience, the format, and at least one example of what "good" looks like. The more constrained the prompt, the more consistent the output.

Do I need a paid plan for Cursor?

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The free tier of Cursor is enough to test these prompts. Paid plans help with longer context windows and faster response times, but the prompt structure itself is identical on free and paid plans.

Can I use these prompts on Claude or Gemini instead?

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Yes — these prompt structures port cleanly across modern LLMs. Claude tends to follow long prompts more faithfully; Gemini handles browse-and-cite tasks well. The structure shown here works on all of them.

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