How do you write clear code in your portfolio?

I’d stress on the benefits rather than achievability. And I would call the point headline “Use meaningful variable names”. Clean code makes enjoyable experience to read and understand in away providing all informations with simple flow, to keep the follow using variable names where indicates the intention/action behind it. Personally save me a lot of time going back and forth between classes and functions

Using meaningful naming conventions in your code really enhances code readability, maintainability and quality of code you produce. It saves you time which you would have wasted looking up variable name/ function name and making sense of what it's used for.

Using consistent naming conventions has been a valuable lesson in my coding journey. It makes the code more readable and organized. I opt for descriptive and meaningful names, avoiding vague ones like 'x'. Sticking to the naming conventions of my programming language enhances clarity and professionalism in my code.

What exactly does this article talks about that makes it "portfolio" focused? As I see, there are some common guidances for when writing any code.

Consistent naming conventions are a cornerstone of professional software development, and they offer a multitude of benefits: 1. Code clarity and readability 2. Maintainability of codebase 3. Collaboration among team members 4. Reduced cognitive load 5. Code quality 6. Cross-Platform compatibility 7. Ease of debugging 8. Documentation on various features 9. Onboarding a new team member 10. Professionalism that reflects positively on the development team and the organization as a whole. So, using these naming conventions isn't just about making the code look nice; it's a smart way to make the code easier to understand, work on a team, and maintain over time. This is the secret for writing efficient, organized and teamwork-friendly software!

Structuring my code logically has significantly improved its clarity. Breaking it into smaller, focused functions or classes has been a game-changer. Now, each part of my code has a clear role, making it easier to follow, test, and maintain. This approach enhances code reusability and overall readability, a valuable lesson for effective programming.

A logical code structure is the backbone of professional software engineering. It's like composing a symphony—every element has its place and purpose. It fosters clarity, making code more understandable. This organization boosts productivity, streamlining development and debugging. Scalability and modularity are its hallmarks, ensuring your project can evolve and reuse components efficiently. It's a shared language for teams, enhancing collaboration. Logical structure future-proofs your code, and its documentation is invaluable. Neglecting it accumulates technical debt, impairing your project's future. In essence, it's the bedrock of successful software engineering, akin to crafting a timeless masterpiece.

Also we should try to avoid having too many parameters in a method, instead we can create on abject and use it. Another way we can use to write clean code is by reducing nested if's and use early return principle. We should give name to complex conditions involving multiple &&, ||.

It is very simple: you will spend more time maintaining an unstructured code than writing a new one. It allows you to reuse the code and saves hours of wasted time.

Doing this practice can help you avoid unnecessary bugs and getting entangled in your own code. Having a structured code increases readability, makes it easier to understand (for yourself & others) and re-usability(calling the same logic in different functions).

Commenting your code is really important. I have made it a habit to always comment my code. It helps me read through my logic & check in times when I have bugs, where I have missed things. When collaborating with colleagues its best for all the contributors to follow the same coding practices like "Comment and document your code" as it makes collaboration on the same project much smother.

Commenting and documenting my code has been a crucial practice. It helps me and others understand the code's logic and intention. Comments provide quick explanations within the code, while documentation offers a more comprehensive overview. I use docstrings in Python, and it has greatly improved code comprehension and collaboration. This practice ensures clarity and consistency in my projects, making it easier for everyone to work with the code.

Comments!, I think code should not be documented normally, This is considering you have clean and readable code. But if you made assumptions or you think some of the part is moved from somewhere ( where there is a source of truth ) I think it's a perfect way to point it out. But the code itself should be pretty explanatory for the reader If not, comments are not gonna fix it. So I think Public API's should be documented but rather than that not

Can you give an example of good documentation? The problem I have with most documentation tools is that they will incentivize to document every public class, method and every parameter of a method... and this means documenting the obvious most of the time. For example, I see many "Style" properties documented as "Gets the object Style", without giving any hint on what that style really is. What makes it worse is that such a documentation is on a property named Style, probably of type SomethingStyle. So, we get more from the property name and its type than from the documentation.

Good document is important, good document describes how you can run project, what is demands to run/build code, why shit codes exists and where are them, what are the technical debt, each function why exists. Some parts of document could be auto generated by comments, apis, docker files. But i think good documents should address shit codes.

Adhering to coding standards and best practices has been instrumental in maintaining clear and professional code. It ensures consistency and compatibility with other code and tools. Following these guidelines, like proper indentation and error handling, has made my code more reliable and maintainable. It's a valuable lesson for producing high-quality code that aligns with industry standards and expectations.

Using "linters" could be very helpful. Linters are set of rules which developed by community and you can customize them for your code.

I think, following coding standards and best practices is not merely a technical choice; it's a commitment to excellence. It's the difference between serving a gourmet meal and a haphazard dish. It's a testament to your dedication to crafting software that's efficient, reliable, and future-proof—an artistry that sets you apart as a professional full-stack engineer.

Review and refactor are integral to my team’s development. Regular code reviews catch issues early, improve quality, and foster collaboration. Refactoring keeps our code maintainable, reduces technical debt, and ensures it evolves with changing requirements. Neglecting these practices can lead to costly errors and hinder long-term project success. It also ensures that any changes in the latest version of the tech are incorporated and might be performing better than your current implementation.

Review and refactor your code isn't just a task; it's a philosophy. It's about dedicating yourself to constant improvement, creating software that stands the test of time, and embracing the collaborative spirit that drives excellence in software development. It's the symphony of the coding world, where each note, review, and refactor contributes to the creation of software that's both artful and functional.

Reviewing and refactoring my code has become a regular practice, and it's made a noticeable difference. Regular reviews help catch syntax, logic, or performance issues early, ensuring my code is robust. Refactoring, based on principles like DRY and SOLID, has improved code quality and readability. It's a vital lesson in continuously enhancing code and preventing issues down the line.

In refining code, uphold DRY and KISS principles to avoid over-complication. Refrain from fixing what isn't broken. Prioritize modularity and extensibility during refactoring, ensuring adaptability. Always assess Big O performance, steering clear of pitfalls like quadratic functions. For deeper insights, I recommend "Clean Code" by Robert C. Martin. Effective coding balances clarity, efficiency, and foresight.

In my opinion, clear code won't be created on the first try. We should review it multiple times and each time ask ourselves how it could be significantly improved. Thinking the entire application, new features, etc... may inspire us.

Make your Code modular Modular codes are clearer and easier to develop, debug, and understand. Modular coding practice made my job easier than ever. There are many practices for modular coding that make you ready for development easier than ever.

Most Important thing is knowing that your code will be read by others, you are responsible to them, You must write codes which is easy go for them, so you should document well, you should develop by regular standards. Although your code should works well and be promising. You have to collaborate on your codes with others and this is best ways to learn things.

I will include Modularity and Extensibility as cornerstones in my coding practices. Modularity breaks software into distinct modules, each handling specific tasks, enhancing readability, testability, and reusability. Extensibility ensures the software can evolve without major rewrites, achieved by adopting open architectures, utilizing interfaces, and avoiding tight coupling. Together, they foster a robust, adaptable codebase.