Slowing down to speed up: why Clean Code is not a luxury

by Carl — 10 minutes

We all know it: the daily struggle during sprint planning or the stand-up. As a developer, you want nothing more than to deliver craftsmanship. You want to write code you're proud of and that will still be understandable three years from now. However, reality is often more stubborn. There is constant pressure from the market, customers, and stakeholders to achieve quick results. The Product Owner and management are often on the front lines, hammering on 'time-to-market'.

"Can't it be done quickly?" is then the question. Commercial urgency often takes the upper hand and displaces the time needed to deliver quality. It's a tricky situation where everyone often acknowledges that it should be done right the first time, but external pressure forces choices for the fast route. The problem is that this quick solution is a loan with a sky-high interest rate that you, as a team, will have to pay back sooner or later.

The hidden costs of the "fast today, good tomorrow" mentality

At first glance, it doesn't seem wrong to make concessions on quality so that you hit that important release. We agree with each other that we'll do it quickly now to meet the deadline and that we'll clean up the code in the next sprint anyway. In practice, however, this almost always turns out to be an illusion. As soon as the code is in production, the priority shifts immediately to the next feature and the backlog work is pushed to the following sprint.

This has direct consequences not only for the stability and maintenance of the application, but also for the team and you as a developer:

  • The cognitive load: Unclear code forces you to puzzle out exactly what's happening in the code every time before you dare to make a small change.
  • Fear of regression: In a cluttered codebase, no one dares to change anything anymore because a small change in one place can have unpredictable consequences in a completely different place.
  • The interest on your debt: The longer you wait to improve the code, the more new features are built on top of it. This makes an eventual bug fix increasingly complex and risky.
  • Loss of job satisfaction: Nothing is as demotivating for a craftsman as having to continuously deliver work that doesn't meet their own standards. Pride in the product disappears when you're only busy tying shortcuts together.
  • Tension and stress: When the production environment is unstable, a constant 'firefighting mentality' arises. Having to continuously put out fires under high pressure is a huge source of stress.

Drawing the line: Responsible acceleration

How do you handle that pressure? You find yourself in a field of force between the commercial desires of the business and your own professional honor. It's important to draw a line together here between what's acceptable and what becomes downright dangerous for the stability of the software. It's often not a lack of will, but a lack of insight into the fact that 'fast' in the short term almost always leads to difficult-to-solve problems and high costs in the long term.

It's your job as a developer to take control of this balance and engage in conversation. The goal here is to make better choices together. Even if a collective decision is made to choose a less ideal route, you must hold on to a set of non-negotiable basic principles. Not to build the "golden solution", but to deliver code that at least doesn't become an unmanageable minefield. At that moment, you might not be building a palace, but you are ensuring the foundation is strong enough not to collapse as soon as the code is in production. Being professional also means providing reasoned resistance when shortcuts directly endanger the stability of the system.

Prevent the nightmare in production

Imagine, late in the day, a critical bug comes in that blocks the most critical part of your application. At that moment, the quality of your code is the only thing standing between you and a sleepless night.

If you've taken the time to write your code robustly, this is the moment it pays off. You open the relevant module and, thanks to the clear naming and logic, you see almost immediately where things are going wrong. You perform the fix, your automated tests confirm that you haven't broken anything else, and you can go home with peace of mind at the end of the day.

Without that foundation, the scenario looks very different. You end up in an endless search through a forest of spaghetti code. Every change you try to make seems to cause three new problems elsewhere. Stress increases, pressure from the business grows, and you end up deep into the night with a quick-and-dirty solution that might temporarily mask the problem but only increases the technical debt further. That's the nightmare we all want to avoid.

Uncle Bob

Robert C. Martin, also known in the software world as Uncle Bob, is the founder of the Clean Code principle. He emphasizes that writing software is a craft for which you, as a developer, always bear personal responsibility. His famous 'Boy Scout Rule' reminds us to always leave the code a little neater than we found it. This mentality ensures that technical debt doesn't accumulate unnoticed, even when the deadline comes into view.

What is Clean Code?

There is a misunderstanding that Clean Code is a form of "pretty writing" that we only have time for when there are no deadlines. In reality, it's about readability and predictability. It's a way of communicating with the next person who has to touch the code. Often, that person is your future self, who six months later has totally forgotten why that one complex if statement was there in the first place.

At its core, Clean Code is code written so that another developer understands it immediately. It reads like a well-written story in which the logic is clear and predictable. The focus is on human readability rather than just technical execution. The result is software that not only works but is also easy to read and therefore understand.

Here are the key points of Clean Code that every developer can use as a foundation, even when pressure is high:

  • Meaningful names: Use names for variables and functions that make the intention of the code immediately clear.
    </i>// ❌ Wrong: vague names
const d = 10;
const f = (u: User) => { /* ... */ };

// ✅ Good: meaningful names
const daysUntilExpiration = 10;
const deactivateUser = (user: User) => { /* ... */ };
  • Single Responsibility: Ensure that a function or class has only one specific task and performs that task well. When a function does multiple things at once, the code becomes cluttered, making it difficult to later quickly understand, modify, and/or expand the functionality.
    </i>// ❌ Wrong: does too much (validating, saving, emailing)
function handleSignup(user: User) {
  if (user.email.includes("@")) {
    db.save(user);
    emailService.sendWelcome(user);
  }
 }

// ✅ Good: split into small functions
function handleSignup(user: User) {
  if (isValidUser(user)) {
    saveUser(user);
    sendWelcomeEmail(user);
  }
}
  • Keep logic simple: Avoid, for example, nesting if-statements. The flatter and simpler your code structure is, the smaller the chance that unexpected bugs will occur in the production environment.
    </i>// ❌ Wrong: deep nesting
if (user) {
  if (user.isActive) {
    if (user.hasPermission) {
      doSomething();
    }
  }
}

// ✅ Good: guard clauses (early return)
if (!user || !user.isActive || !user.hasPermission) return;
doSomething();
  • Self-documenting code: Write code that speaks for itself. Instead of using blocks of text as comments to provide explanations, adjust the code until its intention is clear to every reader.
    </i>// ❌ Wrong: comments needed to explain vague logic
// Check if the user is entitled to a discount
if (u.age > 65 || (u.isMember &amp;&amp; u.points > 100)) { /* ... */ }

// ✅ Good: logic extracted to a variable name
const hasRetirementAge = user.age > 65;
const isLoyalMember = user.isMember &amp;&amp; user.points > 100;
const qualifiesForDiscount = hasRetirementAge || isLoyalMember;

if (qualifiesForDiscount) { /* ... */ }
  • The Boy Scout Rule: Always leave the code a little neater than you found it. By implementing small improvements during your daily work, you ensure that technical debt becomes a bit smaller.
    </i>// You're working in a file and see this:
const x = a * 1.21; // calculate VAT

// Change it to something better while you're at it:
const VAT_RATE = 1.21;
const priceWithTax = price * VAT_RATE;

AI as an accelerator: The pitfall of the automatic code generator

With the rise of AI agents and tools, writing code seems to go faster than ever. In a market that demands speed, this is often seen as the ultimate solution to hit deadlines without extra capacity. While these tools are fantastic for generating boilerplate or complex logic, they also bring a new risk. AI has little to no awareness of the long term or the specific context of your application. It generates code that looks perfect at first glance but isn't necessarily maintainable.

The developer's responsibility shifts from writing code yourself to critically curating code. You must be extra vigilant:

  • The temptation of the quick tab key: It's straightforward to blindly accept AI suggestions because they seem 'good enough'. However, this often results in inconsistent naming and logic that doesn't optimally align with the rest of your codebase.
  • Spaghetti at top speed: While AI can generate pages of code in seconds, poor prompting requires immediate refactoring; without a disciplined approach, you risk accumulating unmanageable technical debt at an blazing fast pace.
  • Stay the owner of the logic: See AI as an assistant and not as the lead developer. You are the one who has to support the code in production when a bug occurs. If you don't understand exactly what the AI has generated, you've lost control of your own system.

The beautiful one-liner

</i>> const r = data.filter(i => i.active).sort((a, b) => b.val - a.val).map(i => ({...i, p: i.val * 1.21})).reduce((acc, curr) => acc + curr.p, 0);

AI is masterful at writing these kinds of complex transformations. Initially, it works fantastically, but as soon as a new filter condition is added, the code becomes unreadable. No one immediately understands exactly what the original transformation did anymore.

Conclusion: Slowing down to speed up

It often feels contradictory to take time for quality when there are calls for speed from all sides. Yet investing in Clean Code is not a luxury you allow yourself if there happens to be time left over; it is a common interest for both business and technology. Engaging in this dialogue is a fundamental part of your professionalism.

Especially in the age of AI, applying Clean Code principles is more important than ever. Use the speed of AI to set up concepts, but then take the time to refactor the output according to Clean Code principles. Only then will the acceleration that AI offers remain an advantage in the long term instead of a maintenance nightmare.

By taking the time now to make your code readable, testable, and maintainable, you not only protect the stability of the application, you also protect your own job satisfaction and the mental health of your team. Be that craftsman who dares to slow down where necessary, so that in the long run you can continue to build faster and with more confidence.

Make that one piece of code just a little better than you found it today and leave your code behind in a way that your future self will be grateful for tomorrow.

meerdivotion

Cases

Blogs

Event