Cursor – How to Improve Your Code from ‘Just Write’ to ‘Write Well’
Hello everyone! Today we will talk about a topic that many developers care about: how to write better code.
Recently, while using Cursor, I found that it not only helps us write code quickly but more importantly, it helps us improve code quality. Here are some in-depth usage tips.
The Art of Code Refactoring
From Chaos to Clarity
Take a look at this common business code:
function handleUserData(data) {
if(data) {
const result = [];
for(let i = 0; i < data.length; i++) {
if(data[i].status === 'active') {
result.push({
name: data[i].name,
age: data[i].age,
score: data[i].points * 2
});
}
}
return result;
}
return [];
}
Let Cursor help us refactor: “How can this code be rewritten in a functional programming way to make it clearer?”
The optimized code is:
const handleUserData = (data = []) =>
data
.filter(user => user.status === 'active')
.map(user => ({
name: user.name,
age: user.age,
score: user.points * 2
}));
Performance Optimization
Now let’s look at this component:
function UserDashboard() {
const [users, setUsers] = useState([]);
const [stats, setStats] = useState({});
useEffect(() => {
fetchUsers().then(setUsers);
fetchStats().then(setStats);
}, []);
const processedData = users.map(user => ({
...user,
score: calculateScore(user)
}));
return (
<div>
{processedData.map(user => (
<usercard key="{user.id}" user="{user}"></usercard>
))}
</div>
);
}
Ask Cursor: “What performance issues does this component have? How can it be optimized?”
The optimized code is:
function UserDashboard() {
const [users, setUsers] = useState([]);
const [stats, setStats] = useState({});
useEffect(() => {
Promise.all([
fetchUsers(),
fetchStats()
]).then(([userData, statsData]) => {
setUsers(userData);
setStats(statsData);
});
}, []);
const processedData = useMemo(() =>
users.map(user => ({
...user,
score: calculateScore(user)
})),
[users]
);
return (
<div>
{processedData.map(user => (
<usercard key="{user.id}" stats="{stats[user.id]}" user="{user}"></usercard>
))}
</div>
);
}
Tips for Improving Code Quality
Error Handling
Don’t just simply catch errors:
async function fetchData() {
try {
const response = await api.getData();
return response.data;
} catch (error) {
console.error('Error:', error);
return null;
}
}
Let Cursor help us improve error handling:
async function fetchData() {
try {
const response = await api.getData();
if (!response.data) {
throw new Error('No data received');
}
return response.data;
} catch (error) {
if (error.response) {
// Server error
logger.error('Server Error:', {
status: error.response.status,
data: error.response.data
});
throw new ApiError(error.response.data.message);
} else if (error.request) {
// Network error
logger.error('Network Error:', error.request);
throw new NetworkError('Network request failed');
} else {
// Other errors
logger.error('Error:', error);
throw new AppError('An unexpected error occurred');
}
}
}
Code Maintainability
Use Cursor to generate complete type definitions and documentation:
/**
* User Data Processing Service
* @class UserService
*/
class UserService {
/**
* Process user data
* @param {UserData[]} users - Original user data
* @returns {ProcessedUser[]} Processed user data
* @throws {ValidationError} When the user data format is incorrect
*/
processUsers(users: UserData[]): ProcessedUser[] {
return users.map(this.transformUser);
}
/**
* Transform a single user data
* @private
* @param {UserData} user - Original user data
* @returns {ProcessedUser} Transformed user data
*/
private transformUser(user: UserData): ProcessedUser {
// Data transformation logic
}
}
Improving Code Security
Data Validation
Do not trust input data blindly:
function processUserInput(data) {
const schema = Joi.object({
username: Joi.string().min(3).max(30).required(),
email: Joi.string().email().required(),
age: Joi.number().min(0).max(150)
});
const { error, value } = schema.validate(data);
if (error) {
throw new ValidationError(error.details[0].message);
}
return value;
}
Notes
-
Control Code Complexity
-
Single function should not exceed 30 lines -
Nesting levels should not exceed 3 -
A file should not exceed 300 lines
Performance Considerations
-
Use caching appropriately -
Avoid unnecessary re-renders -
Optimize large data processing
Maintainability
-
Consistent coding style -
Complete error handling -
Clear comments and documentation
End
Writing good code is not something that happens overnight; it requires continuous accumulation and improvement. Cursor can help us reach this goal faster, but the key is to understand the principles behind each optimization.
Remember, improving code quality is a gradual process. The important thing is to maintain a learning mindset and continuously refine your skills.