You want to create better software. What tools should you be using?

To enhance software development, utilize essential tools like version control systems (e.g., Git), integrated development environments (IDEs), testing frameworks (e.g., JUnit), and project management tools (e.g., Jira). Continuous integration tools (e.g., Jenkins) automate testing and deployment. Code review platforms (e.g., GitHub) facilitate collaborative improvement. Monitoring tools (e.g., Prometheus) ensure system performance. Documentation tools (e.g., Confluence) aid knowledge sharing. Adopting these tools streamlines development, promotes collaboration, and ensures the creation of robust and maintainable software.

To create better software, use a mix of tools: IDEs like VS Code for coding efficiency, version control systems like Git for collaboration and tracking changes, testing frameworks like Jest for robustness, project management tools like Jira for organization, and continuous integration tools like Jenkins for automation. Also, leverage libraries/frameworks like React for frontend and Django for backend development to expedite the process. Regularly update skills and explore new technologies for continual improvement

To create better software, you should consider using a combination of development Git: version control systems. VS Code : is a source-code editor. Docker: is a platform designed to help developers build, share, and run container applications. It leverages OS-level virtualization to deliver software in packages called containers. Testing Frameworks: Jest-Mocha CI/CD: continuous integration and continuous delivery/deployment of a set of best practices and principles in software development (Jenkins-GitHub Actions) Cloud: refers to the delivery of various computing services – including servers, storage, databases, networking, software, and analytics – over the internet(AWS-AZUR - Google Cloud) Jira: for project management Finally Chat-GPT4

Creating better software in computer science requires using and understanding key tools and concepts. Building software requires knowledge of coding languages like Python, Java, and C++. Debugging and code suggestion features in IDEs like IntelliJ, PyCharm, and Eclipse boost productivity. Understanding and using version control systems like Git can help manage software versions and collaborate. Optimising software performance and effectiveness requires knowledge of data structures, algorithms, and computer networking. Jenkins and other CI/CD tools are useful in modern DevOps. Finally, testing tools like JUnit, Selenium, and JMeter are essential for a robust and efficient product.

Software development needs all the required softwares for development and release process involved in in SDLC i.e. software development life cycle. Firstly, we need IDEs i.e. integrated development edition like Eclipse, IntelliJ, Visual Studio etc used for coding, debugging and creating a jar/war file for deployment. Secondly, most importantly we need a Linux based environment i.e. putty or cloud based deployment tools i.e. AWs or Azure for deployment of cloud based applications.Developers can use Junit or MockJ framework for automation of testcases to identify the bugs ar development stage.For QA, we need automation tools i.e. Selenium or MockJ framework for implementation of automation of testing and JMeter for performance testing.

Continuous iterations of improvement of the product based on system and user feedback is necessary. For this, post-deployment monitoring the software and having appropriate alerts is important to assess the quality of software. Also, along with system monitoring(such as alerts), iterating based on user feedback is also necessary for creating a better product in the long term.