1. Use Meaningful & Descriptive Names π
β
Variables & Functions Should Be Self-Explanatory
β x = 10
β
maxRetryAttempts = 10
β
Use Verb-Noun Format for Functions
β data()
β
fetchUserData()
π‘ Why? Improves readability and eliminates the need for excessive comments.
2. Keep Functions Small & Focused π
β
Follow the Single Responsibility Principle (SRP)
β
One function = One task
β Bad Example (Too Many Responsibilities)
β
Good Example (Each Function Does One Thing)
π‘ Why? Easier debugging, testing, and reuse.
3. Write DRY (Don’t Repeat Yourself) Code ποΈ
β
Avoid Duplicate Code, Use Reusable Functions
β Bad Example (Repetitive Code)
β
Good Example (Refactored with Functions)
π‘ Why? Prevents inconsistencies and makes code easier to update.
4. Follow Consistent Formatting & Indentation π
β
Stick to a consistent style (PEP 8 for Python, Airbnb for JS, etc.)
β
Use proper spacing & line breaks for clarity
β
Use a linter (ESLint, Prettier, Black) to enforce style
π‘ Why? Consistent formatting makes it easier for others to read and collaborate.
5. Avoid Magic Numbers & Hardcoded Values π’
β
Use Constants Instead
β Bad Example (Magic Numbers)
β
Good Example (Use Named Constants)
π‘ Why? Increases clarity and simplifies future changes.
6. Handle Errors & Exceptions Gracefully π¨
β
Use try-except blocks (Python) or try-catch (JS, Java, etc.)
β
Log errors properly instead of hiding them
β
Provide meaningful error messages
β Bad Example (No Exception Handling)
β
Good Example (Handles Errors Gracefully)
π‘ Why? Prevents crashes and improves user experience.
7. Write Clear & Minimal Comments π
β
**Comment WHY, not WHAT
β
Use docstrings for functions
β Bad Example (Obvious Comments)
β
Good Example (Explain Purpose, Not Code)
π‘ Why? Too many unnecessary comments clutter the code.
8. Use Version Control & Meaningful Commit Messages ποΈ
β
Write concise, informative commit messages
β Bad Commit Message:
β
Good Commit Message:
π‘ Why? Helps track changes and understand past modifications.
9. Optimize Code for Performance β‘
β
Use efficient data structures & algorithms
β
Minimize unnecessary loops & computations
β Bad Example (Unoptimized Loop)
β
Good Example (More Efficient)
π‘ Why? Reduces execution time and memory usage.
10. Write Unit Tests β
β
Test edge cases & unexpected inputs
β
Use frameworks like PyTest (Python), Jest (JS), JUnit (Java)
π‘ Why? Prevents future bugs and ensures code reliability.