AI brings more changes to the DevOps experience than meets the eye

Ronen Slavin, Cycode’s co-founder and chief technology officer, said automation enabled by AI helps “reduce the time spent on menial tasks, allowing teams to focus on strategic communications. and plans”.

DevOps technical teams place great value on the role of artificial intelligence in assisting and automating code development and deployment, which has the potential to make collaborative DevOps practices more coordinated

According to Sonatype’s survey of 800 DevOps leaders According to the survey, almost all DevOps leaders (97%) use generative AI to some extent. Nearly one-third of leaders (31%) say they are already using generative AI in their software development processes.

Industry leaders agree that artificial intelligence is or is expected to revolutionize the DevOps experience. First, according to an analysis report published by GitLab, one of the most common use cases is continuous integration and continuous delivery or deployment (CI/CD): “Artificial intelligence helps automate the process of building, testing and deploying code so that any Changes that pass proper testing can be integrated into the existing code base and immediately deployed to production. This process helps reduce the risk of errors and improves the overall quality of the software developed."

Artificial Intelligence The benefits go beyond creating better software and help bridge the gap between development, operations, and business teams. “Many IT teams need access to business data in test and production environments,” said Jeremy Rambarran, a professor at Touro University’s Graduate School of Technology. “AI can improve existing practices. In an AI-driven environment, critical thinking, Abilities such as teamwork, design, visual information display and independent thinking."

How do the advantages of artificial intelligence arise? “AI can remove communication barriers between different teams on a project,” said Ronen Slavin, co-founder and CTO of Cycode. “AI’s ability to automatically respond to routine inquiries and answer questions based on existing knowledge helps Slavin added that automation enabled by artificial intelligence helps “reduce time spent on menial tasks, allowing teams to focus on strategic communications and planning. "The reduction in day-to-day communication creates an environment for more meaningful discussions between developers, operations staff, business teams and executives."

Rambarran believes that artificial intelligence and generative artificial intelligence "allow many Employees are able to work together more easily, no matter where they are.” In addition, it promotes creativity and can help users come up with novel ideas and challenge conventional wisdom.

In the near future, artificial intelligence may open the way to accelerate software deployment. “AI-powered bots can assist with code reviews or automatically detect and resolve errors, speeding up the development process and fostering a collaborative environment by reducing manual error identification and correction,” Slavin said. “In addition, AI team members and human developers work together The concept of completing daily tasks like updating dependencies or resolving bug bounty reports embodies the possibility of greater collaboration."

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