10 Best Practices for Writing Clean Code
Clean code is important for maintaining and improving software projects. In this post, we'll share 10 best practices that will help you write cleaner, more readable, and more maintainable code.
Clean code isn't about being clever. It's about writing code that the next developer — which is often future you — can understand, modify, and extend without breaking a sweat. Here are ten practices that consistently separate maintainable codebases from the ones developers dread inheriting.
1. Name Things What They Are
A variable named `d` or `temp` forces readers to hold context in their heads. `daysSinceLastDeployment` or `pendingOrderItems` communicates intent immediately. The few extra keystrokes pay back dividends every time someone reads that code. If you can't name something clearly, it's often a sign the thing itself is unclear.
2. Keep Functions Small and Focused
A function should do one thing and do it well. If you need to scroll to see the whole function, it probably does too many things. Aim for functions you can describe in a single sentence without using the word 'and'. Small functions are easier to test, easier to reason about, and easier to reuse.
3. Avoid Deep Nesting
Deeply nested conditionals are one of the fastest ways to make code unreadable. Use early returns ('guard clauses') to handle edge cases and errors at the top of a function, keeping the happy path at a low indentation level. Your future colleagues will be grateful.
4. Write Comments for 'Why', Not 'What'
Well-named code explains what it does. Comments should explain why — the business context, the non-obvious constraint, the workaround for a known library bug. A comment that says `// increment counter` next to `count++` adds noise, not signal. A comment that says `// Workaround for Safari's handling of pointer events in nested iframes` saves the next developer an hour of debugging.
5. Don't Repeat Yourself (But Know When To)
Duplication is a red flag, but premature abstraction is worse. Two pieces of similar code are a coincidence; three are a pattern worth abstracting. Before extracting a shared function, make sure the things really are the same concept — not just superficially similar. Bad abstractions are harder to untangle than duplication.
6. Handle Errors Explicitly
Silent failures are the hardest bugs to diagnose. Handle errors at the boundaries where they can be recovered from, log what you need to debug, and let the rest propagate. Empty catch blocks and swallowed exceptions are technical debt with interest.
7. Keep Dependencies Minimal and Explicit
Every dependency your code takes on is a coupling point. Functions that receive what they need as arguments are easier to test and reuse than functions that reach out and grab global state. Make dependencies visible, not hidden.
8. Write Tests Alongside Code, Not After
Tests written after the fact tend to test the implementation rather than the behaviour. Tests written alongside (or before) the code force you to think about the interface first, which almost always leads to better design. Even simple unit tests catch regressions that would otherwise make it to production.
9. Refactor Continuously
Clean code isn't written in one pass — it's shaped over time. The boy scout rule applies: leave the code a little cleaner than you found it. Rename a confusing variable, extract a nested block, delete dead code. Small, continuous improvements prevent the entropy that leads to legacy nightmares.
10. Optimise for Readability, Not Brevity
Code is read far more often than it is written. The 'clever' one-liner that saves three lines might cost thirty minutes the next time someone has to understand it. Readable code isn't a sign of weakness — it's a sign of experience. The engineers who've been burned by clever code the most are often the most enthusiastic advocates for boring, explicit code.
Clean code is ultimately about respect — for your teammates, for your future self, and for the people who'll rely on the software you build. These practices aren't rules to follow mechanically; they're habits that, once internalised, make the act of writing code more satisfying and the results more durable.
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