Readability: The Unsung Hero of Maintainable Code
In the last post we looked at naming conventions and other clean-code habits. Descriptive variables, classes, and methods matter, but readability also shapes the structure of the whole codebase. That structure affects how easily code can be maintained, debugged, and changed.
One option is a “single-class-per-file” approach. I find this easier to work with in Git, and in some codebases separate files can reduce merge conflicts or make code easier to find. It is a convention, not a rule: when each file has one purpose, understanding a component can take less effort, but the language and project structure still matter. For me, it is also convenient when prompting AI models because I do not need to copy the whole codebase into the context.
Consistency matters at every level. Package and file names should match what they contain. A package like utils.string_operations leaves little room for confusion. It is a collection of string functions. What else could it be? A vague name like utils.helpers makes developers dig around to understand the role. What is a helper? What does it help with? Will it help me or the code? A lot of questions.
Readability is not just about saving time. It is about keeping the code usable as people and requirements change. A well-organized codebase helps with onboarding, debugging, and later changes. Code becomes a conversation, not a cryptic monologue.
When SOLID Principles Become Your Safety Net
We do not have to decide every design question from scratch. People have already thought about these problems. SOLID principles are often discussed as a blueprint for solid design, but their real value shows up during problem-solving.
SOLID is not a rulebook. It is a suggestion. You do not need to apply every principle as soon as you start coding. During prototyping, the goal is to iterate quickly, even if the code is not perfect. It does not matter if everything is in one file at first. When problems appear, such as rigid design or tangled dependencies, SOLID gives you a way to refactor with purpose.
SOLID is not the main topic of this post, but consider a simple example. If adding a feature feels like wrestling with spaghetti code, the Open/Closed Principle might point you toward a more modular design. If one class becomes a dumping ground for unrelated logic, the Single Responsibility Principle can help split it into focused components. Apply these principles when they solve a problem. Do not waste time applying them just to say you did. Make the MVP first.
Over time, this approach builds intuition. When you use these principles in day-to-day problem-solving, they become muscle memory. You do not need to think about every rule. Clean design starts to feel natural, without overengineering an early project.
Readability and SOLID: A Symbiotic Relationship
Readability and SOLID principles share a common goal: reducing cognitive load. Readable code helps developers understand what the code does, while SOLID principles help keep the design flexible and logical. Together, they make systems easier to approach and change.
For example, a well-named class with one responsibility supports both readability and the Single Responsibility Principle. Clear package structures also make it easier to keep high-level logic separate from implementation details.
When readability is a priority, some SOLID principles fall into place naturally.
The Bottom Line
Focus on readability first. Write code that explains itself, stays organized, and uses consistent names. When problems show up during scaling, refactoring, or debugging, use SOLID as a problem-solving guide rather than a rigid rulebook. This keeps the project easier to change without adding design work too early.
Great code is not just functional. It is a conversation. Readability lets more people join in, and SOLID principles help keep that conversation coherent as the code gets more complex.