12 Prompts for Cursor: Master AI-Assisted Development in Your IDE

12 Prompts for Cursor: Master AI-Assisted Development in Your IDE

If you're writing code with Cursor, you already know the editor's AI features can feel like magic. But here's the truth: the quality of Cursor's output depends less on the underlying model and more on how you frame your requests. That's where prompts come in.

Cursor offers three main ways to interact with AI: Tab (autocomplete), Chat (via Ctrl+L or Cmd+L), and Composer/Agent (for multi-file changes). Each mode has its own strengths, and each needs a different prompt style.

In this article, you'll find 12 copy-paste-ready prompts for everyday development tasks. They're battle-tested, practical, and generic enough to adapt to your own codebase. Let's dive in.

Anatomy of a High-Performing Prompt

Before listing the prompts, let's break down what makes a Cursor prompt work:

• Role – tell the AI who it is ("You are a senior Go developer").
• Context – use @ to reference files, functions, or documentation. This grounds the AI in your project.
• Task – state the action clearly ("Refactor", "Write", "Explain").
• Constraints – define style, performance, testability, or output format.

For example, instead of "Write a function", say: "As a senior Python developer, write a parse_config function that reads a TOML file and returns a typed dict, handling missing keys gracefully. Reference @config.py."

12 Essential Cursor Prompts

1. Explain Code in Simple Terms (Chat)

Use this when you inherit unfamiliar code or need to understand a gnarly function.

You are an experienced developer. Explain how the function @file:parse_line works in simple terms.
Include: what it returns, side effects, and why it uses recursion. Give a small example.

Example outcome: Cursor reads the referenced file and produces a concise explanation with a call trace.

2. Write a Unit Test With Edge Cases (Chat)

Stop writing tests from scratch. Let Cursor generate a solid starting set.

Write a comprehensive unit test for the class @file:OrderService using pytest.
Cover: normal case, empty order, negative total, and duplicate item IDs.
Use fixtures and mock external API calls. Follow the existing test style in @tests/

3. Debug With a Stack Trace (Chat)

Paste an error, get a root-cause analysis.

I'm seeing this error when running @file:main.py:
{stack trace}

Find the root cause in @codebase and propose two fixes. Prefer a minimal change.

Why it works: The @codebase symbol lets Cursor search all project files, not just the current one.

4. Refactor for Readability (Inline with Ctrl+K)

Select a function, then press Ctrl+K and type:

Refactor this loop to use Python idioms. Use list comprehension where possible,
rename cryptic variables, and add type hints. Keep behavior identical.

The inline mode applies the diff directly to your selection.

5. Generate a Regular Expression (Chat)

Stop wrestling with regex; describe it in plain English.

Write a JavaScript regex that matches US phone numbers in formats:
(123) 456-7890, 123-456-7890, and 1234567890.
Capture the area code as group 1, prefix as group 2, and line number as group 3.

Output: A ready-to-paste regex with a short explanation.

6. Convert a Requirement Into SQL (Chat)

Turn a business rule into a query.

Using the schema in @schema.sql, write a SQL query to find the top 3 products
sold by revenue in the last 30 days, excluding cancelled orders.
Return columns: product_name, category, total_revenue.

Make sure your schema is referenced; it saves a lot of hallucinated tables.

7. Build a Component From a Design (Composer/Agent)

Composer can create multi-file features. Reference a screenshot or design token.

Create a React component `ProductCard` that matches these design specs:
- image, title, price, and "Add to cart" button
- use Tailwind classes from @tailwind.config
- export default and include prop types
Put it in src/components/ProductCard.tsx

Note: Cursor Agent mode can also add tests and adjust imports.

8. Write a Git Commit Message (Chat)

Let AI summarize your diff.

Here is the output of `git diff --staged`:
[diff]

Write a conventional commit message (type: subject) no longer than 60 characters.
Use the imperative mood. Also suggest a body with the main changes.

9. Profile and Optimize Code (Chat)

Ask for performance improvements without breaking behavior.

Profile this function @file:process_data. Suggest optimizations that reduce
time complexity. For each suggestion, explain the trade-off and show the refactored code.

10. Fix TypeScript Errors (Chat)

Share an error and let Cursor fan out to all files.

Fix the TypeScript error "Type 'string | undefined' is not assignable" in @file.
Find all occurrences of this pattern in @codebase and fix them.
Do not use non-null assertion unless absolutely necessary.

11. Plan an Architectural Change (Composer/Agent)

Large refactors deserve a plan first.

Create a step-by-step plan to migrate our authentication from Passport.js to Auth0.
List affected files, dependencies to add/remove, and a rollout order.
First, show the plan; then, wait for my approval to start implementing.

Pro tip: Use Cursor's Agent mode with "plan only" instruction to keep it from editing files prematurely.

12. Generate Documentation (Chat)

Update READMEs and docstrings automatically.

Write a README section for this project. Include:
- installation steps
- usage example with code
- API reference table for the main functions
- a note about CI/CD

Base it on @README.md and the current @package.json.

What Makes Cursor Prompts Different From Generic ChatGPT Prompts?

Cursor's power comes from context awareness. When you use @ symbols, the editor injects your source code into the conversation. According to the official Cursor documentation, references can target files, folders, documentation, or even web links. This turns a vague "explain this code" into a precise request backed by real code.

Another advantage is Rules (.cursorrules). You can set project-wide instructions, such as "always use functional components" or "never modify generated files." The official Cursor guide on Rules shows how to tune the AI's behavior per project.

Pro tip: For large tasks, always ask for a plan first. Cursor's Agent mode even has a "Show plan" option before applying changes.

Prompt Cheat Sheet (Quick Reference)

Putting It All Together

Prompts are the interface between your intent and the model. Start simple and iterate. Use the 12 examples above as templates, then adjust them to your stack, your style, and your codebase. You'll find that Cursor becomes significantly more reliable when you give it enough context and set clear constraints.

If you only remember one thing from this article, let it be this: always reference relevant files with @ and specify the desired output format. That single habit will improve every reply you get from Cursor.

Now go open Cursor and try one of these prompts. You might be surprised at what the AI can do with a little guidance.