Kubiya Chief Executive Amit Eyal Govrin said the updated copilots help to wrap conversational AI around every DevOps and engineering platform, helping teams achieve greater operational efficiency. The startup said its platform will help reduce DevOps bottlenecks and improve developer velocity by reducing context switching and streamlining collaboration and communication across teams. Not least, they’re accessible with everyday natural language, meaning they can perform most complex tasks from simple conversations. The copilots also have the ability to respond to questions using information within internal knowledge bases and other technical documentation. They’re designed to handle the most repetitive tasks placed on DevOps team’s members, in order to boost their productivity. Kubiya’s copilots live within collaboration tools such as Slack and Teams and have the ability to provision resources, trigger continuous integration/continuous development jobs, Kubernetes deployments, cloud cost usage reports and other DevOps functions through simple user commands. It will ensure DevOps support is more accessible and extensible across entire organizations, the company explained. In this way, Kubiya said, its copilots will facilitate seamless and natural communications between developers across any engineering platform. In addition, users can now chain together multiple purpose-built agents, each trained on domain-specific knowledge using powerful large language models. Artificial intelligence startup Kubiya Inc., which powers an intelligent, ChatGPT-like assistant for DevOps teams, has announced a new generation of its domain-specific copilot tools.Īnnounced today, Kubiya’s new copilots now have the unique ability to interact natively with any DevOps tool, the company said.

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