Zerve has expanded its platform to include generative AI agents that assist in planning and building IT infrastructure, showcased at the Open Data Science Conference. Its updated Zerve Operating System features a distributed computing engine named Fleet, allowing for efficient parallel code execution through serverless technology. Aimed at helping DevOps teams, these AI agents can automate manual tasks and adjust workflows as needed. A survey indicates a growing expectation for the integration of generative AI in code generation and testing.
The overall goal is to provide DevOps teams with AI agents that can automate many of the manual tasks of provisioning IT infrastructure.
AI agents leverage reasoning engines in large language models to determine the next line of code or task, enhancing automation in DevOps workflows.
Using the Zerve Operating System and its Fleet distributed computing engine, massively parallel code execution can be invoked using a single command.
41% of respondents in a Futurum Research survey expect generative AI tools to generate, review, and test code in DevOps.
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