The automation enabled by AI helps ‘decrease time spent on mundane tasks, enabling teams to focus on strategic communication and initiatives,’ says Ronen Slavin, co-founder and CTO at Cycode.
DevOps is getting a welcome boost. Technology teams have a special appreciation for the power of artificial intelligence in assisting and automating code development and deployment, and this may make collaborative practices such as DevOps even more, well, collaborative.
For instance, virtually all DevOps leaders (97%) are using generative AI to some degree, according to a survey of 800 DevOps leaders by Sonatype. Nearly one in three leads (31%) report they have already implemented generative AI into their software development processes.
Industry leaders agree that AI is revolutionizing — or promises to revolutionize — the DevOps experience. For starters, one of the most common use cases is in continuous integration and continuous delivery or deployment (CI/CD), according to an analysis published by GitLab: « AI helps to automate the process of building, testing, and deploying code so that any changes that pass appropriate tests can then be integrated into the existing codebase and deployed to production environments right away.
