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Perforce Commits to Building Agentic AI Fabric for DevOps Workflows

Perforce Software has announced the development of an agentic artificial intelligence (AI) framework that will be integrated into its DevOps tools and platforms.

CBy Chloe SimmonsMay 23, 20251 min read

Perforce Software has announced the development of an agentic artificial intelligence (AI) framework that will be integrated into its DevOps tools and platforms.

The new framework, termed Perforce Intelligence , will offer AI agents trained to automate various software engineering tasks. These agents will enable DevOps engineers to orchestrate operations effectively.

Perforce plans to integrate its AI agents with those developed by cloud service providers and others, utilizing a common infrastructure.

AI agents have been added to Gliffy, a diagramming platform for Confluence, Atlassian's collaboration tool. Next month, AI agents will be integrated into the Puppet Enterprise Advanced platform, providing access to Puppet Infra Assistant, a chat interface designed to help DevOps teams manage IT environments effectively.

The new framework, termed Perforce Intelligence , will offer AI agents trained to automate various software engineering tasks.
Chloe Simmons · Thehackingpost

Through these interfaces, users can access detailed information about system operations, module versions, and compliance status without requiring expertise in the Puppet programming language.

Perforce aims to streamline workflow creation and maintenance across its DevOps tools, including BlazeMeter and Delphix. The ultimate goal is to replace traditional integration methods with AI agents capable of dynamic adaptation throughout the software development lifecycle (SDLC).

Preliminary use of AI agents has resulted in a 50% increase in efficiency and a 20% improvement in test coverage among early adopters. According to research from the Futurum Group, 41% of respondents expect generative AI tools to facilitate code generation, review, and testing, while 39% plan to implement AI models based on machine learning algorithms.

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As AI technologies are adopted, DevOps workflows and pipelines are anticipated to become more robust, reducing reliance on scripts and connectors.

Based on reporting by devops.com.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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