You’re trying to manage your code more efficiently. What are the most popular programming tools?

Code editors are essential tools for developers, and there are many popular options available. Some of the most popular code editors include Visual Studio Code, Sublime Text, Atom, and Notepad++. These editors offer features such as auto-completion, syntax highlighting, and indentation, which make coding faster and easier. By using a code editor, you can streamline your coding process and focus on writing high-quality code. With so many options available, it’s important to choose an editor that fits your needs and preferences. Try out a few different editors to see which one works best for you.

According to me , For efficient code management, popular tools include: Version Control: Git (GitHub, GitLab, Bitbucket) IDEs: Visual Studio Code, Visual Studio, IntelliJ IDEA, PyCharm, Sublime Text Code Review: GitHub Reviews, GitLab Code Review, SonarQube, Pylint Deployment: Jenkins, Docker, Kubernetes Project Management: Jira, Trello, Asana

In my Experience For efficient code management, popular tools include: Version Control: Git (GitHub, GitLab, Bitbucket) IDEs: Visual Studio Code, Visual Studio, IntelliJ IDEA, PyCharm, Sublime Text Code Review: GitHub Reviews, GitLab Code Review, SonarQube, Pylint Deployment: Jenkins, Docker, Kubernetes Project Management: Jira, Trello, Asana

Code editors allow performing CRUD operations efficiently and also save developers time. The most popular and free code editor is vs Code, To manage the code, the best options are git and GitHub

The essence of a code editor lies in its ability to enable quick refactoring of code. Although the Open/Closed principle, which suggests that software entities should be open for extension but closed for modification, often dissuades frequent editing of existing code, refactoring remains crucial for maintaining code, especially as many projects transition from rapid development to a low maintenance mode. Additionally, when working on new ideas, developers often find themselves aggressively refactoring to integrate these concepts into their new abstraction.

Code formatters are programs that automatically format source code in accordance with a predetermined coding style or set of rules.Few ones are 1. Prettier: used for HTML, CSS, JS, TypeScript and JSON 2. Black:Its all about writing "blackened" code, following PEP 8 style guidelines, and encouraging Pythonic coding practices. 3. GoFmt: The official formatter for Go code, GoFmt ensures a uniform formatting style for all Go projects.Benefits of following code standards is consistency, readability and reduced bike-shedding

It’s important to note that when you’re working in a team you will want to agree based on the project you’re collaborating on what the standardised tab spacing, function names, case capitalisation etc IDE’s such as Visual Studio have plugins available that you can configure that automatically enforce your standards. So it’s more of a choice of preference to automate it. Check with your team if you have such a standard and if not or you are working solo you should absolutely adopt these consistencies.

ESLint: While primarily known as a linting tool, ESLint can also be used as a code formatter. It has a --fix flag that can automatically format your code based on rules you define. Beautify: Beautify is a code formatter for JavaScript, HTML, and CSS that can be used in a variety of editors and IDEs.

Code formatting tools focus on the visual appearance and style of the code, including aspects like indentation, line breaks, spacing, etc. They automatically adjust the code to adhere to a predefined coding style or a specific set of formatting rules.

Some languages put formatting rules at the core of their design such as Go with and its library called "fmt". This library is referred by Robert Pike, one of the co-creators of Go, as a tool that saves developers time by stoping them from having to make this decision. Other ecosystems such as Ruby on Rails have formatting guidelines like standardrb and rubocop-rails-omakase, which also provide an opinionated way to format code and provide a more standardize way to approach coding

Testing a code is as important as the development of the code. We believe the dev work is done when we write code and see that it works in our initial manual test for a couple of cases. But we should always write as many test cases for each component as possible. In software development, the traditional way of development is to have unit tests, integration tests, and load tests. Many popular frameworks, like JUnit, PyUnit, etc., help you write the test cases. Having a code coverage requirement check during deployment will ensure that at least a specified percentage of code is tested through unit tests. This way, we can reduce the possibility of edge case failures.

“Quality is never an accident; it is always the result of intelligent effort.” — John Ruskin. Quality Assurance or Software Testing is crucial because it identifies errors or bugs from a system at the beginning. testing a code is a most essential part of the software development. A code tester is a tools that help us to improve the quality and efficiency of the code.

For clean code, detecting vulnerabilities and security we can use sonarqube and checkmarx applications. By writing a unit test case we can do code coverage and branch coverage that will make workflow better

"Debugging is like being the detective in a crime movie where you are also the murderer.” (Felipe Fortes). And just like a good detective has his own techniques, programmers need the right tools to crack the case. Breakpoints, step-through execution and sometimes print statements are your best partners to solve this enigma.

By writing tests that would cover all the possibilities for testing the code is very important to find and minimise the bugs that may arise and prevent the build from going into production. And by automating these tests, would significantly reduce the time to identify potential bugs. This is where CI/CD pipelines will come in handy.

In my experience, the ultimate game-changer is the tool that seamlessly guides you through the deployment journey. Here are the must-have tools embraced by developers: 1. Reliable Physical Machine 2. Feature-Rich Code IDE 3. Version Control Magic 4. Empowering DevOps When this workflow is not just efficient but also customizable to monitor progress and auto-test code through CI/CD on platforms like AWS, Azure, or on-prem servers, you'll witness developers beaming with happiness. ??

Step through your code to identify and fix issues. Popular choices: Built-in: Most IDEs include debuggers (VS Code, PyCharm, WebStorm) Standalone: GDB (C/C++), LLDB (C/C++, Swift)

Embarking on my coding adventures, I've discovered the indispensable role of code debuggers – my trusted allies in the realm of programming. ?? Whether setting breakpoints in Visual Studio or meticulously stepping through code in PyCharm, these tools serve as my compass, swiftly guiding me through the intricate landscape of debugging, unraveling complexities, and enhancing my coding journey. ??

Embarking on my coding adventures, I've discovered the indispensable role of code debuggers – my trusted allies in the realm of programming. ?? Whether setting breakpoints in Visual Studio or meticulously stepping through code in PyCharm, these tools serve as my compass, swiftly guiding me through the intricate landscape of debugging, unraveling complexities, and enhancing my coding journey. ??

Visual Studio offers tools that allow you to debug code. You can place breakpoints, perform step-by-step, go back, enter specific methods. I also use Chrome's DevTool on a daily basis which is also very powerful and versatile.

A version control system is a tool that tracks and manages the changes in your code over time. A version control system can help you create and switch between different versions or branches of your code, as well as merge or revert them. Some of the most popular version control systems are Git, SVN, Mercurial, and Perforce. You can use your version control system to collaborate with other developers, backup your code, and document your progress. History Tracking Collaboration Code Branching and Merging, Documentation Rollback and Revert Backup and Disaster Recovery Facilitates Continuous Integration/Continuous Deployment (CI/CD)

Respecto a este tema, solo tres letras: GIT. Asegúrate de aprenderlo bien y primero usando la consola, porque es el sistema de versiones más popular y porque no siempre vas a tener un IDE al alcance.

Track changes, revert to previous versions, and collaborate seamlessly. Popular choices: Centralized: Git (most popular, powerful, can have a learning curve) Distributed: Mercurial (similar to Git, lighter-weight)

Version control is a system that records changes to a file or set of files over time so that you can recall specific versions later. It's essential for managing and tracking the history of your project files and coordinating work among multiple people. Some of the most popular version control tools are Git, SVN, Bitbucket, Mercurial, Perforce Helix Core, Bazaar, Concurrent Versions Systems etc. Each tool has its strengths and is suited to different types of projects and workflows. Git, due to its flexibility, distributed nature, and widespread support (including platforms like GitHub, GitLab, and Bitbucket for hosting repositories), has become the de facto standard for many developers.

Version control such as git via Gitlabs or GitHub is an essential and expected part of modern software development. It’s more than backing up your files, it’s for versioning, effective branch control for collaboration and some organisations automated DevOps Even when working in a solo setting it’s worth getting into a habbit if using I would highly recommend not highly depending on the GUI version of Git and get familiar with the command line interface (CLI) version so you fully understand the command and effects .

Managing the code will be done efficiently with the help of Code Review tools. Code Review tools are an integral part of any software development organization or project. These help us to collaborate with different resources in the team to review a code patch, propose improvements, discuss code optimizations, and discuss code coverage and will give an idea of what modules the code will affect depending on which the test cases, QA acceptance, UAT and other things will follow. Numerous code review tools such as GitHub, BitBucket, AWS Code Commit, ReviewBoard etc., are available that help organizations achieve the highest quality of the code through collaboration.

It's your code, It's your responsibility..... Collaboration platforms highly help in reviews which give different perspectives to narrow down more usecases. Using automations speed up the release lifecycle

Collaboration platforms enhance teamwork with tools for messaging, project management, and file sharing. Notable ones include: 1. Slack: A team messaging app supporting channels, direct messages, and file sharing. 2. Microsoft Teams: Integrates with Microsoft 365 for chat, video calls, and application integration. 3. Zoom: Known for video conferencing, also offers chat and collaboration features. 4. Asana: Helps organize work with tasks, projects, and calendars to manage team projects. 5. Trello: Uses boards and cards for a visual approach to project management. 6. Confluence: Atlassian's tool for document sharing. These platforms cater to various team and project needs, promoting efficient communication and organization across locations.

Facilitate communication, task management, and code review. Popular choices: Project management: Jira, Trello, Asana Code review: GitHub, GitLab, Bitbucket

There are very few such platforms available for VLSI. Yes Github also has a vlsi community but it's very limited access. Siemens provides a verificationacademy in that we can ask questions about problems in code. We can shoecase our work to the whole community. The Community can comment on query and give us the improvement about the code.

Continuous Integration/Continuous Deployment (CI/CD) Tools: Jenkins: Jenkins is an open-source automation server used for building, testing, and deploying software projects continuously. It integrates with version control systems like Git and supports a wide range of plugins for automating various tasks. Travis CI: Travis CI is a cloud-based CI/CD service that automates the testing and deployment of GitHub projects. It supports various programming languages and platforms, including Linux, macOS, and Windows.

The biggest problem for a learner programmer is staying enganged in learning and having one to one support. You do not need to go to university or study for years I would recommend to any person to try and learn online in whatever media solution works for you. I learned by dissecting open source codes and later YouTube , before going in to study it. I would highly recommended an apprenticeship for any person who feels they would like to start but is lost or confused

I recently came across Goodhart's Law, which basically says that when a measure becomes a target, it ceases to be a good measure. It's important to keep in mind that metrics should guide us, not govern us, in our decision-making process.

In my experience of around 5-6 years into programming, I definitely consider knowing the basics of programming from scratch helps you write effective code in any language or using any editor, formatter or debugger. For instance, if you know the basic fundamentals of ‘Function’ concept, you can define it once and use it ample times you want. You save your lines of code, time, energy, increase readability, quality of code making it more effective and gives ease to collaborative teammates for having a look or work with that. It’s not about debuggers, formatters or editors, it’s all about knowing the basics and using it in the way that makes your code more productive.

Another matter, which should receive some thoughts in collaborative programming, is a common programming environments. It is just annoying and a waste of time if code builds and tools like debugger work on one programmers laptop but not on the laptop of another programmer. To avoid this it is possible to use a shared environment with same versions by e. g. developing inside a Docker container. All the configuration, OS, software, versions, and even IDE plug-ins can be checked into version control (such as git) in form of a Docker file and Docker compose files. While this is an initial effort in order to get this working, over time it can reduce issues which are caused by using different development environments in developer teams.