How AI is Revolutionizing Linux System Administration: Tools and Techniques for Automation

AI-powered tools are changing the software development scene as we speak. AI assistants can not only help with coding, using advanced machine learning algorithms to improve their service, but they can also help with code refactoring, testing, and bug detection. Tools like GitHub, Tanbine, and Copilot aim to automate various processes, allowing developers more free time for other, more creative tasks. Of course, implementing AI tools takes time and careful risk assessment because various factors need to be taken into consideration. Let’s review some of the most popular automation tools available for Linux.

Why Use AI-Powered Software Tools in Linux?

AI is being widely used across various spheres of our lives with businesses utilizing the power of Artificial Intelligence to create new services and products. Even sites like Depositphotos have started offering AI services to create exclusive licensed photos that can be used anywhere – on websites, in advertising, design, and print media. Naturally, software development teams and Linux users have also started implementing AI-powered tools to improve their workflow. Here are some of the benefits of using such tools:

• An improved user experience.
• Fewer human errors in various processes.
• Automation of repetitive tasks boosts overall productivity.
• New features become available. 
• Innovative problem-solving.

Top AI Automation Tools for Linux

Streamlining processes can greatly increase productivity, allowing developers and Linux users to delegate repetitive tasks to AI-powered software. They offer innovative solutions while optimizing different parts of the development process. Let’s review some of them.

1. GitHub Copilot

Just a few years ago no one could’ve imagined that coding could be done by an AI algorithm. This AI-powered software can predict the completion of the code that’s being created, offering different functions and snippets on the go. GitHub Copilot can become an invaluable tool for both expert and novice coders. The algorithms can understand the code that’s being written using OpenAI’s Codex model. It supports various programming languages and can be easily integrated with the majority of IDEs. One of its key benefits is code suggestion based on the context of what’s being created.

2. DeepCode

One of the biggest issues all developers face when writing code is potential bugs. This is where an AI-powered code review tool can come in handy. While it won’t help you create the code, it will look for vulnerabilities inside your project, giving context-based feedback and a variety of suggestions to fix the bugs found by the program. Thus, it can help developers improve the quality of their work. DeepCode uses machine learning to become a better help over time, offering improved suggestions as it learns more about the type of work done by the developer. This tool can easily integrate with GitLab, GitHub, and Bitbucket.

3. Tabnine

Do you want an AI-powered tool that can actually learn from your coding style and offer suggestions based on it? Tabnine can do exactly that, predicting functions and offering snippets of code based on what you’re writing. It can be customized for a variety of needs and operations while supporting 30 programming languages. You can use this tool offline for improved security.

4. CircleCl

This is a powerful continuous integration and continuous delivery platform that helps automate software development operations. It helps engineering teams build code easily, offering automatic tests at each stage of the process, whenever a change is implemented in the system. You can develop your app fast and easily with CirlceCL’s automated testing that involves mobile, serverless, API, web, and AI frameworks. This is the CI/CD expert who will help you significantly reduce testing time and build simple and stable systems.

5. Selenium

This is one of the most popular testing tools used by developers all over the world. It’s compatible across various platforms, including Linux, due to the open-source nature of this framework. It offers a seamless process of generating and managing test cases, as well as compiling project reports. It can collaborate with continuous automated testing tools for better results.

6. Code Intelligence

This is yet another tool capable of analyzing the source code to detect bugs and vulnerabilities without human supervision. It can find inconsistencies that are often missed by other testing methods, allowing the developing teams to resolve issues before the software is released. This tool works autonomously and simplifies root cause analysis. It utilizes self-learning AI capabilities to boost the testing process and swiftly pinpoints the line of code that contains the bug.

7. ONLYOFFICE Docs

This open-source office suite allows real-time collaboration and offers a few interesting options when it comes to AI. You can install a plugin and get access to ChatGPT for free and use its features while creating a document. Some of the most handy ones include translation, spellcheck, grammar correction, word analysis, and text generation. You can also generate images for your documents and have a chat with ChatGPT while working on your project.

Conclusion

When it comes to the Linux operating system, there are numerous AI-powered automation tools you can try. A lot of them are used in software development to improve the code-writing process and allow developers to have more free time for other tasks. AI tools can utilize machine learning to provide you with better services while offering a variety of ways to streamline your workflow. Tools such as DeepCode, Tabnine, GitHub Copilot, and Selenium can look for solutions whenever you’re facing issues with your software. These programs will also offer snippets of code on the go while checking your project for bugs.

The post How AI is Revolutionizing Linux System Administration: Tools and Techniques for Automation appeared first on Unixmen.