Unlocking AI’s Hidden Potential in DevOps

For example, almost all DevOps leaders (97%) are using generative AI in some way, as found in a survey of 800 DevOps leaders conducted by Sonatype. About one in three leaders (31%) say they have already put generative AI into their software development procedures.

Experts in the industry are in agreement that AI is changing, or has the potential to change, the way DevOps works. To begin with, one of the most common ways it’s used is in continuous integration and continuous delivery or deployment (CI/CD), as stated in an analysis from GitLab.

AI helps in making the process of creating, testing, and releasing code automatic, so any changes that pass the required tests can be added to the existing code and sent to production environments immediately.

This helps in decreasing errors and enhancing the quality of the software under development.

AI’s benefits go beyond just making better software; it’s also bringing development, operations, and business teams closer together.

According to Jeremy Rambarran, a professor at Touro University Graduate School of Technology, many IT teams need access to testing and production environments with business data.

AI can improve these methods. In an AI-powered setting, skills like critical thinking, teamwork, design, visual information presentation, and independent thinking become even more important.