Quais são os padrões mais comuns do setor para desenvolvimento de código?

The most common industry standards for code development include: Clean Code: Writing code that is easy to read, understand, and maintain. DRY (Don't Repeat Yourself): Avoiding duplication in code by reusing existing code. KISS (Keep It Simple, Stupid): Keeping code simple and straightforward. SOLID Principles: A set of five principles for writing maintainable and scalable code. Code Reviews: Regular reviews of code by peers to ensure quality and adherence to standards.

Most programming languages have idiomatic ways to name different elements, like the given example for python. However, the more important part are the already existing conventions in the codebase! Any convention is fine as long as it's not distracting, works well with the language tools, and is consistent.

Clean Code: Write clean, readable, and maintainable code. DRY (Don't Repeat Yourself): The principle that states every piece of knowledge or logic within a system should have a single, unambiguous representation to avoid duplication of code. SOLID Principles: A set of five object-oriented design principles. Design Patterns: Reusable solutions to common problems in software design. Code Reviews: Make sure your code gets reviewed. Unit Testing: Writing automated unit tests for individual components of code. Documentation: Writing comprehensive documentation for code. Code Comments: If your organization allows then add comments. Implementing Security Best Practices and Performance Optimization.

The code should be readable and manageable. Just simple! Use proper naming conventions for the directories, files, and code elements like classes, functions, and variables. Your function should keep atomic solutions, and should not keep multiple activities in a single function.

The most common industry standards for code development vary depending on the technology stack, programming languages, and specific needs of projects. Some widely recognized standards and best practices include: - Coding Standards: These define rules for code formatting, naming conventions, and other stylistic considerations. Examples include PEP 8 for Python, PSR standards for PHP, and Google's JavaScript Style Guide for JavaScript. - Performance Optimization: Best practices for optimizing code performance, such as minimizing latency and maximizing throughput, are critical for high-performance applications. - Agile Methodologies: Agile methodologies like Scrum and Kanban promote iterative development, collaboration, and adaptability.

Write code that is easy to follow and understand. Use meaningful variable and function names. Optimize space and time by writing concise yet expressive code.

Google Java Style Guide: Providing guidelines for Java development, Google's style guide covers aspects like indentation, line length, and arrangement of code blocks. It aims for clear and readable code. Python's Black: While not a traditional style guide, Black is an opinionated code formatter for Python. It automatically reformats code to comply with PEP 8, reducing debates over formatting choices. JavaScript Standard Style: Promoted by the JavaScript community, this style guide emphasizes a standard and consistent code format for JavaScript development. Tools like ESLint help enforce this style. Use the IDE to configure and import the corresponding code formatter to apply uniformly in the whole project

And another crucial standard for coding is adhering to clear and consistent code formatting practices. This involves employing indentation, spacing, line breaks, comments, and other structural elements to enhance readability and organization. Proper code formatting aids in logical organization, bug prevention, and adherence to language and editor conventions. For instance, in Java, indentation should consist of four spaces, braces should be placed on the same line as the statement, and comments should be written using // or /* */.

Code formatting is way to forced to check the code and make it elegant and easy to read for other. Newman style is my favorite. Any condensed structure which can be read it easily is good. This ternary condense structure is better: a > b ? x : y; Than this: if (a > b) { result = x; } else { result = y; }

I've found that one of the most common industry standards for code development is thorough code documentation. It's crucial for maintaining readability and understanding the purpose of code blocks. For instance, in a complex project I worked on, we used JSDoc for our JavaScript code. This not only helped us understand the functionality but also facilitated seamless onboarding of new team members.

JavaDoc: Widely used in Java development, JavaDoc provides a standard way to document code, describing classes, methods, and variables. It generates HTML documentation from inline comments. Sphinx for Python: Sphinx is a documentation generator that supports multiple programming languages, but it is commonly used in Python. It allows the creation of elegant and informative documentation. JSDoc for JavaScript: JSDoc is a popular tool for documenting JavaScript code. By using special comments, developers can describe functions, variables, and classes, and generate documentation with tools like JSDoc.

I strongly see that in coding, a critical standard revolves around comprehensive code documentation. This entails employing comments, docstrings, annotations, and other tools to elucidate the purpose, functionality, parameters, and outputs of your code. Thorough documentation fosters better understanding, facilitates debugging, and streamlines testing efforts. For instance, in C#, it is advisable to utilize XML comments, incorporating tags such as <summary>, <param>, <returns>, and <exception> for detailed documentation.

Code documentation if always sacrificed in a rush time, bug fixing and last minutes changes. As testing, code documentation need to be part of the coding culture inside the company.

I am of the notion that important code documenation should be in a README, or stored in an external file (e.g. Notion.so). It should detail all the information you think a dev looking at this years later should have to run this project locally. How to execute, environment variables, install packages without conflicts, etc. Second most important is to detail how to navigate the project. Detailing how and why things were organized. I can't tell you how many legacy projects I've seen that miss the above two points. Last bit is to comment in your code. I don't think you should, but there are instances where you have a really complex function that needs to be explained. If you can't parse what it does in under a minute, it needs a comment.

Well, duh, code quality is good. Linters and tools like sonarqube are going to be your best bet for protecting code quality. There should be a good balance between strictness of rules and making it comfortable for developers to change code. Add these rules to your CI and disallow merging clearly bad code.

SonarQube: SonarQube is a widely used static code analysis tool that assesses code quality, detects bugs, and identifies security vulnerabilities. It supports multiple languages, including Java, JavaScript, Python, and more. Linters (ESLint, Pylint, Checkstyle): Linters analyze source code for potential errors, enforcing coding standards and identifying issues. ESLint is for JavaScript, Pylint for Python, and Checkstyle for Java. Code Reviews and Pull Requests: While not a tool or standard per se, the practice of code reviews and pull requests is a critical aspect of maintaining code quality. Peer reviews ensure that code adheres to standards, is readable, and follows best practices.

Para a realização das coberturas mencionadas, hoje também podemos utilizar ferramentas de IA para nos auxiliar nessa cobertura do código, como por exemplo, o GitHub Copilot. Contudo, precisamos utiliza-lo como uma ferramenta para nos auxiliar embasados em nossos conhecimentos prévios e não como uma ferramenta mágica. A IA bem utilizada nos ajuda no desempenho do código

Drawing from my expertise, I'd like to share that ensuring code quality is paramount in software development. Tools like RuboCop, Reek, and RSpec are indeed invaluable for Ruby developers, as they automate code reviews, identify smells, and enforce style guides. However, the principle of maintaining high-quality code transcends specific languages or tools. It involves peer reviews, continuous integration, and a culture of quality first. This holistic approach not only mitigates technical debt but also fosters a collaborative environment where quality is everyone's responsibility, ultimately leading to more reliable and maintainable software.

Code Quality is non-negotiable in coding. It entails ensuring that your code is reliable, efficient, secure, and scalable. High-quality code not only meets client, user, and stakeholder expectations but also mitigates technical debt and performance concerns. For instance, in Ruby, employing tools such as RuboCop, Reek, and RSpec aids in assessing and enhancing code quality by evaluating metrics such as complexity, duplication, coverage, and security.

Currently Git continues to be the standardized platform for version control in code, having numerous options for its implementation, whether in cloud or self-hosted solutions. And there is nothing to suggest that this situation can change in the medium term.

Git is the de facto standard for version control. It enables developers to track changes, collaborate effectively, and manage code versions. Platforms like GitHub, GitLab, and Bitbucket further enhance Git's functionality.

And another fundamental standard in code development involves employing code versioning tools such as Git, SVN, or Mercurial to oversee the changes and revisions within your codebase. Utilizing versioning facilitates collaboration among developers, ensures code backup and restoration, enables comparison and merging of different versions, and facilitates the creation of branches and tags for distinct features and releases. For instance, in Git, commands like git init, git add, git commit, git push, git pull, and git merge are instrumental in managing your code repository effectively

Antes pensaba que git había que lanzarlo desde la terminal. ¡Nosotros éramos los únicos valientes! Tonterías. Lo importante de usar git es, precisamente eso, usarlo. Si prefieres usar Fork, SourceTree, Github Desktop o el propio IDE, está genial. De hecho para algunas tareas algo más complejas, es más fácil hacerlo así. Lo más relevante de tu aprendizaje de git es que sepas como guardarte los cambios de algo que tienes que dejar a un lado para ponerte a otra cosa. Git stash es entonces tu colega fiel.

In code versioning is necessary give details of the changes made in every commit, in order to explain what and why the changes was made.

JUnit for Java: JUnit is a widely used testing framework for Java. It provides annotations to define test methods, fixtures, and assertions, facilitating unit testing. pytest for Python: pytest is a testing framework for Python that simplifies test discovery and execution. It supports various types of tests, including unit tests and functional tests. Jest for JavaScript: Jest is a popular JavaScript testing framework that focuses on simplicity and speed. It is commonly used for testing React applications.

Incorporating user-centric design principles into the code development process is essential for prioritizing the needs, preferences, and experiences of end-users. By centering development efforts around user satisfaction, developers can create software applications that are intuitive, engaging, and customized to meet user expectations effectively.