5 Simple Principles to Write Clean, High‑Performance Code

Avoid Being Overly Unique

When you encounter flashy new techniques, you may be tempted to write clever code that impresses peers, but such tricks often become distractions. Developers usually just want to fix bugs and move on, so these clever tricks end up as optional amusements that increase mental load and hinder understanding.

[Translator note: The image shows a C‑language example meant to avoid mistakenly writing variable = null . It has caused confusion recently but offers little benefit.]

Do not use overly personalized constructs that require extra explanation. Follow standard coding conventions instead of “your way,” and aim for code that anyone can read and understand.

Divide and Conquer

Modularization clarifies complex code structures. Simple techniques—such as storing long conditional expressions in one or two variables—avoid extra function calls and can be reused elsewhere, even to compose more complex conditions.

Break problems into focused parts that affect only local state, avoiding unrelated side effects. Applying the Single Responsibility Principle keeps code concentrated and well‑designed.

[Translator note: The diagram illustrates a modular approach that avoids extra function overhead.]

I prefer using changes to delineate logic.

Test‑Driven Development (TDD) enforces disciplined coding practices; even if you don’t adopt TDD fully, its underlying principles—such as favoring stateless, pure functions—make you a more adaptable developer.

Separate Code for Independent Handling

Complexity arises from preprocessing, edge‑case handling, and tool limitations. Avoid relying on language extensions or custom templates that IDEs struggle to index, as they impede refactoring and navigation.

Prefer libraries and languages that integrate well with IDEs; the productivity gains outweigh the convenience of obscure syntactic tricks.

[Translator note: Using magical font strings can cause IDEs to misinterpret your code.]

Service Locator is an example of a design that integrates poorly with IDEs.

Avoid writing special‑purpose code that only you understand; most languages allow dynamic constructs, but overusing them creates codebases that IDEs cannot refactor reliably.

Make Programs Readable

Adopt predictable architecture so teammates can locate code quickly, saving time. Organize major components (e.g., MVC) into clear directories rather than scattering them across deep or disparate paths.

While modularization is beneficial, over‑modularizing can make code location difficult. Use a limited set of libraries that cover most needs, reducing unnecessary dependencies.

I recently built a project with ECMAScript 7 (Babel) and realized that junior developers were stalled trying to understand the toolchain, harming team productivity. Avoid introducing tools that are too advanced for the current skill level.

This is a real snippet from a Makefile I wrote; beginners don’t need to master many new technologies.

Make Code Easy to Understand

Choosing good names is crucial; documentation can’t replace clear, context‑aware identifiers. Semantic naming reduces the need for external documentation.

Prefixing names once helped readability, but overuse (e.g., Hungarian notation) has faded because the context often provides type information.

[Translator note: The diagram stresses expressing intent through naming rather than clever language tricks.]

Fluent interfaces are frequently overused.

Finally, reduce branching complexity: each additional branch adds indentation and lowers readability, increasing the amount of state you must track.

Conclusion & Further Reading

The article introduced five straightforward concepts to help you organize code more effectively.

Practice is the best teacher—apply programming to reinforce theory. If you haven’t already, I sincerely recommend “Code Complete,” which offers abundant examples and analyses of virtually every problem you may encounter.