Best Cursor AI Prompts for Developers (2025)

25 copy-paste prompts for Cursor IDE across five categories: debugging, refactoring, code generation, testing, and documentation. Each prompt is specific enough to produce correct output on the first generation — no vague "make this better" prompts.

Works in Cursor Chat and Cursor Edit (Cmd+K). Fill in the brackets, paste, and ship.

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🐛 Debugging & Error Fixing♻️ Refactoring & Code Quality Code Generation🧪 Testing📄 Documentation & Comments

🐛 Debugging & Error Fixing

Error-first diagnosis

Include the full stack trace so Cursor finds the root cause, not just the symptom.

I'm getting this error:

[Paste the full error message and stack trace here]

Here's the relevant code:

[Paste the function or block where the error occurs]

What I expected: [describe expected behavior]
What actually happens: [describe actual behavior]

Diagnose the root cause and fix it. Do not change the function signature or return type.

Type error resolver

For TypeScript type errors that are hard to trace through generics.

Fix this TypeScript type error without using `any` or `as unknown`:

[Paste the error message]

Relevant types:

[Paste the type definitions involved]

Code where the error occurs:

[Paste the code block]

Explain in one sentence why the type error occurs, then show the corrected code.

Async/await bug hunt

Finds race conditions, missing awaits, and unhandled rejections.

This async function has intermittent behavior — sometimes it returns the correct result, sometimes undefined or an empty object:

[Paste the async function]

The function is called with: [describe call context and arguments]

Check for: missing awaits, race conditions, Promise.all vs sequential execution, and unhandled rejections. Show the corrected version with an explanation of what was wrong.

♻️ Refactoring & Code Quality

Targeted refactor (safe scope)

Constrain the change to a specific range so Cursor doesn't rewrite more than you intended.

Refactor ONLY the code between the comments below. Do not modify anything outside these markers.

// REFACTOR START
[Paste the code to refactor]
// REFACTOR END

Goal: [e.g., "eliminate the nested loop", "extract the validation logic into a named function", "replace callback pattern with async/await"]

Constraints:
- Keep the same function signature and return type
- Maintain existing behavior for all edge cases
- Do not add new dependencies

Performance bottleneck fix

Targets O(n²) and repeated computation patterns specifically.

This code has a performance issue — it slows down significantly when the input array exceeds ~500 items:

[Paste the slow function]

Identify the O(n²) or repeated-computation pattern causing the bottleneck. Rewrite it to run in O(n) or O(n log n). Show a before/after comparison and briefly explain the complexity improvement.

Dead code eliminator

Removes unused variables, parameters, and imports without breaking anything.

Audit this file for dead code: unused variables, unreachable branches, parameters that are always undefined, and imports that are never referenced.

[Paste the file or function]

List each dead code item with the line number, then show the cleaned version. Do not change any logic — only remove unused code.

Component decomposition

Splits a large React component into focused, reusable pieces.

This React component is doing too much. Break it into smaller, focused components.

[Paste the component]

Rules:
- Each new component should have a single responsibility
- Pass props explicitly (no context unless it already exists in the codebase)
- Keep the same external API — the parent that renders this component should not need changes
- Name components after what they render, not what they do (e.g., UserAvatar not renderAvatar)

Show the decomposed components and the updated parent.

Code Generation

Schema-first function generator

Give Cursor your data shape and it writes type-safe code on the first pass.

Write a TypeScript function with this exact signature:

```typescript
function [functionName](input: [InputType]): [ReturnType]
```

Input shape: [describe or paste the type/interface]
Output shape: [describe or paste the expected return shape]
Business logic: [describe what the function should do step by step]

Requirements:
- Strict TypeScript — no `any`, no non-null assertions unless necessary
- Handle null/undefined inputs explicitly (throw or return early — specify which)
- Add a JSDoc comment with one @example using realistic values

API route generator

Generates a complete Next.js/Express route with validation and error handling.

Generate a [Next.js API route / Express endpoint] for this operation:

Method: [GET/POST/PUT/DELETE]
Path: [/api/example]
Purpose: [describe what this endpoint does]

Request body/params: [describe shape and required vs optional fields]
Success response: [describe shape and HTTP status]
Error cases to handle: [list specific errors and their status codes]

Use Zod for input validation. Include proper TypeScript types. No comments — just clean, production-ready code.

Utility function from examples

Generates a function by showing Cursor input/output pairs.

Write a utility function that transforms data based on these examples:

Input → Output:
- [example 1 input] → [example 1 output]
- [example 2 input] → [example 2 output]
- [example 3 input] → [example 3 output]

Edge cases it must handle:
- [edge case 1]
- [edge case 2]

Language: TypeScript. Return only the function — no tests, no usage examples.

🧪 Testing

Unit test suite generator

Generates tests covering happy path, edge cases, and error states.

Write a complete Jest test suite for this function:

[Paste the function]

Cover these cases:
1. Happy path — normal input returns expected output
2. Edge cases: [list specific ones, e.g., empty array, zero, null]
3. Error cases: what should throw and with what message

Style requirements:
- Use describe/it blocks
- Arrange-Act-Assert pattern within each test
- Descriptive test names (it('returns empty array when input is null', ...))
- No mocking unless the function calls external APIs

Generate the tests, not a plan for tests.

React component test

RTL test covering renders, interactions, and async states.

Write React Testing Library tests for this component:

[Paste the component]

Test these scenarios:
1. Renders without crashing and shows expected initial content
2. User interaction: [describe the key interaction, e.g., button click, form submit]
3. Loading state (if async): shows skeleton/spinner while fetching
4. Error state: shows error message when API fails

Use userEvent over fireEvent. Mock API calls with jest.fn() returning resolved/rejected Promises. Follow the RTL philosophy — test behavior, not implementation.

Test gap auditor

Identifies which paths your existing tests miss.

Here is a function and its existing tests. Identify all the code paths that are not covered.

Function:
[Paste the function]

Existing tests:
[Paste the test file]

List each uncovered branch/condition with the line reference. Then write the missing test cases. Do not rewrite existing tests — only add new ones.

📄 Documentation & Comments

JSDoc generator

Creates useful docs that explain the why, not just the what.

Write a JSDoc comment for this function:

[Paste the function]

Requirements:
- @param for each parameter with type and description
- @returns with type and what it represents
- @throws if the function can throw — what triggers it
- One @example with realistic values (not foo/bar)
- Keep the total comment under 10 lines
- Do not restate the function name — explain what a caller needs to know

README module section

Writes the exact README section a new team member needs.

Write a README section for this module/component:

[Paste a brief description of what it does, or paste the code]

Section should cover:
1. One-sentence summary of what it does
2. When to use it (and when NOT to — what's out of scope)
3. Minimal code example showing the most common use case
4. Props/parameters table (if applicable)

Audience: a new engineer joining the team who hasn't seen this code before.
Length: under 150 words. No installation instructions.

Inline comment auditor

Adds comments only where the WHY is non-obvious, removes noise.

Audit the inline comments in this code. Remove comments that just restate what the code does ("increment counter", "return true"). Add comments only where the WHY is non-obvious: a workaround for a specific bug, a non-obvious invariant, or behavior that would surprise a reader.

[Paste the code]

Return the code with comments added, removed, or kept according to that rule. Do not change any logic.

Pro tip: set project context with .cursorrules

A .cursorrules file at your project root injects context into every prompt automatically. Include your language version, framework, code style rules, and test setup. With these defaults in place, you write shorter prompts and get more accurate results — Cursor already knows it should use TypeScript strict mode, avoid any, and target your specific versions. Use our Custom Instructions Generator to draft yours →

Frequently Asked Questions

What are the best prompts for Cursor AI?

The best Cursor prompts share three traits: (1) They include file context — tell Cursor which file or function you're working in so it writes code that fits your existing patterns. (2) They specify the exact outcome — "refactor this function to eliminate the nested loop and keep the same return type" beats "make this better". (3) They constrain the scope — "only modify lines 40–80, do not change the function signature" prevents Cursor from rewriting more than you intended. Prompts with these qualities get correct code on the first generation, eliminating the back-and-forth revision cycle.

How do I write effective debugging prompts in Cursor?

Effective Cursor debugging prompts include: (1) The exact error message or stack trace — paste it in full, not a paraphrase. (2) What you expected vs. what actually happened. (3) Relevant surrounding code context (not just the failing line). (4) What you've already tried. Example: "This TypeScript function throws 'Cannot read properties of undefined (reading map)' at line 34. I've confirmed users is populated before the call. Explain why this fails and fix it without changing the function signature." This gives Cursor everything it needs to diagnose the root cause rather than guess.

What is the difference between Cursor Chat and Cursor Edit (Cmd+K)?

Cursor Chat (side panel) is best for exploration, explanation, and multi-step planning — you discuss the problem, get an answer, then apply it. Cursor Edit (Cmd+K / Ctrl+K) directly modifies selected code in-place and is best for targeted, single-operation changes like "rename all variables to camelCase" or "add error handling to this function". For prompting: Chat prompts can be more conversational; Edit prompts should be direct commands with a single clear instruction. Use Chat to figure out the approach, then Cmd+K to execute it.

How should I write Cursor prompts for code review?

For code review in Cursor, specify the review lens: "Review this for security vulnerabilities only — ignore style." or "Review for performance: identify O(n²) patterns and suggest O(n log n) alternatives." or "Act as a senior engineer doing a PR review. List (1) bugs, (2) edge cases not handled, (3) missing tests — in that priority order." Generic "review my code" prompts produce surface-level feedback. Targeted-lens prompts surface the issues that actually matter for your specific situation.

What are good Cursor prompts for writing tests?

Effective test-writing prompts in Cursor: (1) Specify the framework — "using Jest and React Testing Library". (2) List the coverage targets — "write tests for the happy path, null input, and array-out-of-bounds cases". (3) Describe existing test patterns — "follow the Arrange-Act-Assert pattern used in the existing tests in this file". (4) Set mock strategy — "mock the API calls using jest.fn(), do not use MSW". Without these constraints, Cursor may pick a different test style, mock differently, or miss important edge cases entirely.

How do I use .cursorrules to improve prompt quality?

A .cursorrules file sets project-wide context that every prompt inherits. Effective rules include: your language and framework versions ("TypeScript 5.3, React 18, Next.js 14"), your code style constraints ("no default exports, all components functional, no any types"), your testing setup ("Jest + RTL, no Enzyme"), and architectural decisions ("API calls only in /hooks, never in components"). With these in place, you don't have to repeat this context in every prompt — Cursor applies them automatically. Start with 10–15 lines of the most important constraints and add to it as you notice repeated corrections.

Can I use Cursor to refactor legacy code?

Yes, Cursor handles legacy refactoring well with the right prompts. The key is incremental scoping: instead of "refactor this file to modern JavaScript", use "convert only the callbacks in lines 40–90 to async/await, preserve error handling behavior, do not touch the rest of the file". Once that succeeds and tests pass, move to the next section. This prevents Cursor from making sweeping changes that break untested code paths. For large refactors, use Chat to plan the sequence of steps, then Cmd+K to execute each step one at a time.

How do I get Cursor to write better documentation?

For documentation prompts, specify the audience and format: "Write a JSDoc comment for this function. Audience: junior engineers unfamiliar with this codebase. Include @param, @returns, and one @example showing a real use case with realistic values. Keep it under 8 lines." or "Write a README section for this module. Cover: what it does in one sentence, when to use it vs. the alternative, and a minimal code example. No installation instructions." Documentation prompts that include audience, format, and length constraints generate usable docs on the first pass.

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