Clean Code: The Art of Writing Clean and Sustainable Code in Software Development

There’s a sad truth that every developer has experienced: just because code runs doesn’t mean it’s good code. Hmm… it’s true. You might write a piece of code that works perfectly today, but return just two weeks later and, not believing your eyes, you’ll ask yourself:
“Hmm… did I really write this mess…!?”

Don’t worry (well, maybe worry a little), welcome to the world of Clean Code — where code not only “runs,” but is also “readable,” “understandable,” and “maintainable without going crazy.”

On the journey to becoming a super-level VIP pro developer, where colleagues no longer fear reading your code, clean code is a secret weapon. It helps you:

• Avoid writing code that your future self will be horrified by.
• Teamwork is no longer a nightmare.
• Easy to debug, easy to extend, and most importantly… easy to live with.

Clean code is not a mystical or overly academic concept. It’s a way to treat yourself and others on your team kindly.

In this article, I will walk you through:

• Decoding what Clean Code is and why it matters.
• Go through the essential principles like DRY, KISS, SOLID (sounds a bit academic but is actually easy to understand, though whether you can apply them in practice is another question).
  
• Look back at the “legendary” mistakes that everyone has made when writing messy code.
• And finally, review the well-curated materials from coding “veterans,” distilled from the pain and mistakes that you or your colleagues may have caused.

And now… let’s clean up that spaghetti code.

1. What is Clean Code?

The concept of “Clean Code” was introduced and popularized by Robert C. Martin, commonly known by the nickname Uncle Bob – one of the “living legends” in the software development industry. In his book Clean Code: A Handbook of Agile Software Craftsmanship, he defines:

“Clean code always looks like it was written by someone who cares.”

In other words, clean code is code written with respect for the next reader – whether it be a colleague, a client, or yourself after several sleepless weeks due to a deadline.

So, what are the characteristics of clean code?

A piece of code is considered “clean” if it usually:

• Readable: You can understand what the code is doing at a glance without having to guess.
  
• Understandable: Variables, functions, and classes all have clear and consistent names.
  
• Easy to modify: When adding new features, you don’t have to “tear down and rebuild” the code.
  
• Easy to test: Clean code usually separates logic clearly, making it easy to write unit tests.
  
• Not tangled: Minimal repetition, no messy dependencies, and no “hard-coded” values.
  

On the other hand, bad code is the kind that makes people exclaim after reading it:

“Hmm…me keep…!!!”

Or they might remain silent, but their facial expressions and eyes… tell a different story.

Why is the definition of clean code important?

Because it is the foundation for every quality software project. A system can have thousands of lines of code. If it’s not clean from the start, every time you fix something, you end up “digging through” a mess like a janitor – which wastes time, makes bugs multiply, and makes long-term development difficult.

2. The Importance, Role, and Benefits of Clean Code

Writing clean code is not just a good habit – it is the foundation for building sustainably maintainable software, both technically and human-wise. Here are the reasons why clean code should be considered a “top priority” in every serious software project.

2.1. Enhancing Project Sustainability

A software project is never “finished once and for all.” It is always evolving – adding features, fixing bugs, optimizing performance, supporting new platforms… Therefore, the code needs to be easy to modify without breaking the entire system.

Clean code helps you refactor with confidence.

For example, if modules are written clearly and without messy dependencies, updating an API or processing logic only requires changes in the right place. Conversely, if the code is tangled, every fix is like “pulling a strand of spaghetti” – easily causing everything to get messed up.

Clean code also helps new team members onboard faster. Instead of spending a whole week figuring out “what this code does,” a newcomer can grasp the logic just by reading through, thanks to clear naming, understandable structure, and functions broken down by responsibility.

2.2. Increasing Productivity and Reliability

Clean code is not written faster, but it helps read faster, debug faster, and work more efficiently in the long run.

• When functions are concise and variables are clearly named, developers will make fewer mistakes during bug fixes or feature expansions.
  
• When code is easy to test (thanks to clear separation of logic), writing unit tests or setting up CI/CD becomes simpler – reducing the chances of bugs leaking into production.
• When a bug occurs, clean code helps you identify the cause more easily, because each part of the system is clearly designed and separated.
  

A familiar saying in the programming community:

“We read code more often than we write it. So why not write it to be easy to read?”

Clean code saves you hours every week simply because you have to guess the code less.

2.3. Strengthening Teamwork Spirit and Idea Communication

Whether you work in a 3-person startup or a 3000-person corporation, software is always a collaborative product. And the source code is the common language among developers.

When someone writes clean code:

• Others can immediately understand the purpose of the code.
• There are fewer misunderstandings when modifying someone else’s code.
• Easier to review pull requests and give feedback.
• Relationships with colleagues improve significantly.

This not only improves communication efficiency within the team but also builds a culture of mutual respect. Clean code is the way you show responsibility first to yourself, then to your teammates.

Writing clean code is an act of “helping others understand you” – one of the most important skills in teamwork.

2.4. (Additional) Reducing Long-term Development Costs

This is a less talked about but very practical benefit: clean code helps reduce maintenance costs, bug fixes, and new feature development.

Many companies face the situation where the longer the project develops, the messier the code becomes. Any change risks causing a “domino effect,” leading to stagnation. In such cases, the cost of “keeping the project alive” is many times higher than the cost of writing it from scratch – all stemming from not maintaining clean code from the start.

3. Core Principles of Clean Code

3.1 Meaningful Naming

Why it’s important:
Variable/function/class names are the first “interface” that readers encounter. If the names are unclear, readers have to dig into the code to understand, wasting time.

Bad example:

def g(u):
    return u.split('@')[1]

def g(u):
    return u.split('@')[1]

Good example:

def get_user_email_domain(email):
    return email.split('@')[1]

def get_user_email_domain(email):
    return email.split('@')[1]

You can understand the function’s purpose immediately without having to look into the details.

Avoid: using vague abbreviations (dt, tmp, i2) or generic names (data, process).

3.2 Do One Thing (Each function should do only one thing)

Why it’s important:
Functions that do too many things make testing and debugging difficult, and increase the chance of errors when making small changes.

Bad example:

function handleOrder(order) {
    validateOrder(order);
    saveOrderToDatabase(order);
    sendConfirmationEmail(order);
    generateInvoice(order);
}

function handleOrder(order) {
    validateOrder(order);
    saveOrderToDatabase(order);
    sendConfirmationEmail(order);
    generateInvoice(order);
}

Good example:
Break it down:

function validateOrder(order) { ... }
function saveOrder(order) { ... }
function sendEmail(order) { ... }
function generateInvoice(order) { ... }

function validateOrder(order) { ... }
function saveOrder(order) { ... }
function sendEmail(order) { ... }
function generateInvoice(order) { ... }

3.3 DRY (Don’t Repeat Yourself)

Why it’s important:
Code repetition means you have to fix multiple places when changing logic → easy to miss errors.

Bad example:

price_with_tax = price + price * 0.1
# Ở chỗ khác lại viết y chang
total = amount + amount * 0.1

price_with_tax = price + price * 0.1
# Ở chỗ khác lại viết y chang
total = amount + amount * 0.1

Good example:

def add_tax(amount):
    TAX_RATE = 0.1
    return amount + amount * TAX_RATE

def add_tax(amount):
    TAX_RATE = 0.1
    return amount + amount * TAX_RATE

3.4 Commenting Correctly

Principle:

• Explain the “why”, not just the “what”.
  
• Clear code doesn’t need line-by-line comments.

Bad example:

def add_tax(amount):
    TAX_RATE = 0.1
    return amount + amount * TAX_RATE

def add_tax(amount):
    TAX_RATE = 0.1
    return amount + amount * TAX_RATE

Good example:

// Thêm 1 vào count để tính cả sản phẩm hiện tại
count += 1;

// Thêm 1 vào count để tính cả sản phẩm hiện tại
count += 1;

3.5 KISS (Keep It Simple, Stupid)

Why it matters:
The simpler the solution, the easier it is to maintain. Over-engineering (using complex design when it’s not needed) will make you a “victim” of your own creation.

Bad example: Using microservices for a TODO app with 1-2 users.
Good example: Using a simple script or monolith until there is a real need to separate.

3.6 Early Return

Why it matters:
Reduces the depth of if/else, making the code flatter and easier to read.

Bad example:

if (user != null) {
    if (user.isActive()) {
        sendEmail(user);
    }
}

if (user != null) {
    if (user.isActive()) {
        sendEmail(user);
    }
}

Good example:

if (user == null) return;
if (!user.isActive()) return;
sendEmail(user);

if (user == null) return;
if (!user.isActive()) return;
sendEmail(user);

3.7 SOLID Principles (OOP)

The 5 object-oriented design principles help make systems easier to extend and maintain:

1. Single Responsibility – Each class should have only one responsibility.
   
2. Open/Closed – Open for extension, closed for modification.
   
3. Liskov Substitution – A subclass can replace its parent class without breaking the logic.
   
4. Interface Segregation – Small, specialized interfaces.
   
5. Dependency Inversion – Depend on abstractions, not on implementations.
   

3.8 Writing Automated Tests

Why it matters:
Code without tests is like a “bridge without handrails” – it can still be used, but it’s risky. Tests help to:

• Early bug detection
• Confidence when refactoring
• Ensure the code works as expected

3.9 YAGNI (You Aren’t Gonna Need It)

Meaning:
Don’t write code for features that “might be needed in the future” when there’s no real requirement yet.
Developers often tend to “add just in case” → this leads to increased complexity and harder maintenance.

3.10 Separation of Concerns

Ý nghĩa:
Mỗi module/class nên giải quyết một “mối quan tâm” (concern) duy nhất. Giao diện UI không nên xử lý logic business, và ngược lại.

Example:

• The Controller layer receives the request →
• Delegates business logic to the Service layer →
• The Repository accesses the data.

This approach helps you modify one part without breaking the entire system.

3.11 Law of Demeter (Principle of Least Knowledge)

Meaning:
An object should only communicate with its “close neighbors” and should not know too much about the internal structure of other objects.
→ Reduces coupling, increases maintainability.

Bad example:

order.customer.address.city.name

order.customer.address.city.name

This creates a long dependency chain; changing any layer can cause cascading errors.

3.12 Frequent Refactoring

Meaning:
Clean code doesn’t happen naturally; it is the result of continuous improvement. After passing tests, take time to optimize names, extract functions, and eliminate duplication.
Early refactoring helps prevent the accumulation of “technical debt.”

3.13 Defensive Programming

Meaning:
Assume inputs can always be incorrect and handle edge cases from the start → avoid unpredictable bugs.

Example:

function divide(a, b) {
    if (b === 0) throw new Error("Cannot divide by zero");
    return a / b;
}

function divide(a, b) {
    if (b === 0) throw new Error("Cannot divide by zero");
    return a / b;
}

Note: When not to apply extreme measures

• Excessive DRY → creates confusing abstractions, reduces readability.
  
• Excessive KISS → overly simple solutions, lacking flexibility when requirements change.
  
• Overly strict YAGNI → sometimes neglects proper architectural preparation, leading to costly refactoring.
  
• Applying SOLID principles in the wrong context → makes code more complex than the actual benefit.
  
• …

4. Official Clean Code Standards/Documentation

5. Common mistakes when writing non-clean code

• Using vague, meaningless variable/function names
• Writing functions that are too long and deeply nested
• Repeated code that is hard to test
• Incorrect comments, redundant steps in input validation
• Violating the Single Responsibility Principle

6. Conclusion

Writing clean code is not a luxury technique for those who have “extra time to polish code beautifully,” but a vital foundation for software to survive, grow, and succeed.

Clean code is like a good book: anyone who opens it can understand the storyline without the author standing by to explain. It helps the whole team confidently develop new features, refactor without fear of “breaking” anything, and keep the project sustainable over time.

A professional programmer not only makes the software work, but also makes others want to work with them — and clean code is the common language that connects them.

Remember: The code you write today is the legacy you leave for the future. Write it as if you will have to maintain it for the next 5 years… because most likely, you will.

7. Reference

1. Robert C. Martin – Clean Code: A Handbook of Agile Software Craftsmanship
2. Robert C. Martin – The Clean Coder
3. Martin Fowler – Refactoring: Improving the Design of Existing Code
4. Google – Google Style Guides
5. Steve McConnell – Code Complete
6. Wikipedia – SOLID principles
7. DRY, KISS, YAGNI principles – BetterProgramming.pub

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