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Inline Edit Strategies: Tips 46-60

Inline Edit (Ctrl+K) is where natural language meets precise code transformation. These 15 tips will teach you to wield this powerful feature for everything from quick fixes to sophisticated refactoring operations.

Tip 46: Understand Selection Scope Strategy

Section titled “Tip 46: Understand Selection Scope Strategy”

Your selection determines the transformation scope:

// Select only the return statement:
return data;
// Ctrl+K: "Add null check"
// Result affects only the return:
return data || [];

Tip 47: Write Clear, Specific Instructions

Section titled “Tip 47: Write Clear, Specific Instructions”

Transform vague requests into precise instructions:

❌ Vague

“Make this better” “Fix this” “Optimize”

✅ Specific

“Add input validation for null and empty strings” “Convert callbacks to async/await” “Extract magic numbers into named constants”

Example transformations:

// Original
function calc(x, y) {
return x * 0.1 + y * 0.15;
}
// Vague: "Make this clearer"
// Specific: "Extract tax rates as constants and add parameter validation"
// Result:
const TAX_RATE_BASE = 0.1;
const TAX_RATE_ADDITIONAL = 0.15;
function calc(x, y) {
if (typeof x !== 'number' || typeof y !== 'number') {
throw new TypeError('Both parameters must be numbers');
}
return x * TAX_RATE_BASE + y * TAX_RATE_ADDITIONAL;
}

Reference surrounding code in your instructions:

// Select the function
async function createUser(data) {
return db.users.insert(data);
}
// Ctrl+K: "Add the same validation as updateUser function above"
// Cursor looks at updateUser and applies similar validation
// Or be explicit about patterns:
// "Add validation matching our standard API pattern with Joi"

Build complex transformations incrementally:

  1. First Edit: “Convert to TypeScript with proper types”
  2. Second Edit: “Add error handling”
  3. Third Edit: “Add JSDoc documentation”
  4. Fourth Edit: “Extract magic numbers to constants”

Each edit builds on the previous, maintaining context:

// Original
function process(items) {
return items.filter(i => i.price > 100).map(i => i.price * 1.2);
}
// After chained edits:
/**
* Processes items by filtering and applying markup
* @param items - Array of items with price property
* @returns Array of adjusted prices for premium items
*/
const PREMIUM_THRESHOLD = 100;
const MARKUP_RATE = 1.2;
function process(items: Array<{price: number}>): number[] {
try {
if (!Array.isArray(items)) {
throw new TypeError('Items must be an array');
}
return items
.filter(item => item.price > PREMIUM_THRESHOLD)
.map(item => item.price * MARKUP_RATE);
} catch (error) {
console.error('Error processing items:', error);
return [];
}
}

Inline Edit recognizes and applies patterns:

// Select multiple similar functions
getUserById(id) { return db.users.find(id); }
getPostById(id) { return db.posts.find(id); }
getCommentById(id) { return db.comments.find(id); }
// Ctrl+K: "Convert to a generic factory function"
// Result:
function createFindById(collection) {
return (id) => db[collection].find(id);
}
const getUserById = createFindById('users');
const getPostById = createFindById('posts');
const getCommentById = createFindById('comments');

Inline Edit excels at structural transformations:

// Select:
const users = [
{ id: 1, name: 'Alice' },
{ id: 2, name: 'Bob' }
];
// Ctrl+K: "Convert to object keyed by id"
// Result:
const users = {
1: { id: 1, name: 'Alice' },
2: { id: 2, name: 'Bob' }
};

Use Inline Edit for performance improvements:

// Select inefficient code:
function findDuplicates(arr) {
const duplicates = [];
for (let i = 0; i < arr.length; i++) {
for (let j = i + 1; j < arr.length; j++) {
if (arr[i] === arr[j] && !duplicates.includes(arr[i])) {
duplicates.push(arr[i]);
}
}
}
return duplicates;
}
// Ctrl+K: "Optimize using Set for O(n) complexity"
// Result:
function findDuplicates(arr) {
const seen = new Set();
const duplicates = new Set();
for (const item of arr) {
if (seen.has(item)) {
duplicates.add(item);
} else {
seen.add(item);
}
}
return Array.from(duplicates);
}

Transform code to implement specific patterns:

// Select a class with direct dependencies:
class OrderService {
constructor() {
this.database = new Database();
this.emailer = new EmailService();
this.logger = new Logger();
}
}
// Ctrl+K: "Apply dependency injection pattern"
// Result:
class OrderService {
constructor(database, emailer, logger) {
this.database = database;
this.emailer = emailer;
this.logger = logger;
}
}
// With interface definitions:
interface IDatabase { /* ... */ }
interface IEmailService { /* ... */ }
interface ILogger { /* ... */ }
class OrderService {
constructor(
private database: IDatabase,
private emailer: IEmailService,
private logger: ILogger
) {}
}

Break down complex code into modules:

// Select a large function
// Ctrl+K: "Extract validation logic into separate functions"
// Or more specific:
// "Extract each step into a named function following single responsibility principle"

Transform functions into fully tested code:

// Select function:
export function parsePrice(priceString: string): number {
const cleaned = priceString.replace(/[$,]/g, '');
return parseFloat(cleaned);
}
// Ctrl+K: "Add comprehensive test cases including edge cases"
// Generates (in test file):
describe('parsePrice', () => {
it('should parse basic price strings', () => {
expect(parsePrice('$10.99')).toBe(10.99);
expect(parsePrice('$1,234.56')).toBe(1234.56);
});
it('should handle edge cases', () => {
expect(parsePrice('$0')).toBe(0);
expect(parsePrice('$0.01')).toBe(0.01);
expect(parsePrice('$.99')).toBe(0.99);
});
it('should handle invalid inputs', () => {
expect(parsePrice('')).toBe(NaN);
expect(parsePrice('abc')).toBe(NaN);
expect(parsePrice('$')).toBe(NaN);
});
it('should handle large numbers', () => {
expect(parsePrice('$1,000,000.00')).toBe(1000000);
});
});

Generate context-aware documentation:

// Select complex function
// Ctrl+K: "Add JSDoc with examples based on the implementation"
// Inline Edit analyzes the code and generates:
/**
* Calculates the compound interest on an investment
* @param {number} principal - Initial investment amount
* @param {number} rate - Annual interest rate (as decimal, e.g., 0.05 for 5%)
* @param {number} time - Investment period in years
* @param {number} n - Number of times interest is compounded per year
* @returns {number} Final amount after compound interest
*
* @example
* // Calculate monthly compound interest for $1000 at 5% for 2 years
* calculateCompoundInterest(1000, 0.05, 2, 12); // Returns 1104.94
*
* @example
* // Calculate annual compound interest
* calculateCompoundInterest(5000, 0.03, 10, 1); // Returns 6719.58
*/

Transform optimistic code into production-ready code:

// Select:
async function fetchUserData(userId) {
const response = await fetch(`/api/users/${userId}`);
const data = await response.json();
return data;
}
// Ctrl+K: "Add comprehensive error handling with retry logic"
// Result:
async function fetchUserData(userId, maxRetries = 3) {
if (!userId) {
throw new Error('userId is required');
}
let lastError;
for (let attempt = 1; attempt <= maxRetries; attempt++) {
try {
const response = await fetch(`/api/users/${userId}`);
if (!response.ok) {
if (response.status === 404) {
throw new Error(`User ${userId} not found`);
}
throw new Error(`HTTP error! status: ${response.status}`);
}
const data = await response.json();
return data;
} catch (error) {
lastError = error;
if (attempt < maxRetries &&
!error.message.includes('not found')) {
console.warn(`Attempt ${attempt} failed, retrying...`);
await new Promise(resolve =>
setTimeout(resolve, 1000 * attempt)
);
}
}
}
throw new Error(`Failed after ${maxRetries} attempts: ${lastError.message}`);
}

Inline Edit can identify and handle edge cases:

// Select function that needs edge case handling
// Ctrl+K: "Add edge case handling for null, undefined, empty arrays, and boundary values"

Press Alt+Enter instead of Enter for quick questions:

// Select code
const result = data?.user?.profile?.email || 'default@example.com';
// Ctrl+K, then Alt+Enter: "What does ?. do?"
// Cursor explains optional chaining without modifying code

Pro Tip Use Quick Question to understand code before transforming it.

Create powerful workflows:

Inline Edit → Tab

Use Inline Edit to start a refactor, then Tab to complete similar patterns

Inline Edit → Agent

Use Inline Edit for local changes, then Agent for project-wide updates

Search → Inline Edit

Find all occurrences, then batch transform with Inline Edit

Example workflow:

Terminal window
1. Search for all "console.log" statements
2. Select each result group
3. Ctrl+K: "Replace with proper logger.debug calls"
4. Review and apply changes

✅ Do:

  • Be specific about desired changes
  • Select appropriate scope
  • Chain simple transformations
  • Review generated code
  • Use for refactoring patterns

❌ Don’t:

  • Make vague requests
  • Transform too much at once
  • Skip code review
  • Ignore edge cases
  • Override without understanding
  1. Refactoring Challenge: Take a 50-line function and break it down into smaller functions using only Inline Edit.

  2. Type Safety Challenge: Convert a JavaScript file to TypeScript with proper types using chained Inline Edits.

  3. Pattern Application: Apply three different design patterns to a class using Inline Edit.

  4. Test Generation: Generate complete test coverage for a module using Inline Edit.


You’ve mastered precise code transformation with Inline Edit. Now explore Agent & Chat Optimization to handle complex, multi-file operations and leverage AI for architectural decisions.