Engineering roadmaps inside enterprises that never planned to build AI products are now being eaten by AI work. Teams at hospitals, banks and government agencies are spending huge chunks of their sprint capacity wiring up models, UI components and accessibility plumbing for AI features that aren’t core to what their business actually does. The mismatch […]
Postman Adds AI Agent to Automate API Development and Governance
Postman added an artificial intelligence (AI) agent to its portfolio of tools and platforms for building and governing application programming interfaces (APIs) that can autonomously perform tasks ranging from development and documentation to exploration and setting up integrations with continuous integration/continuous deployment (CI/CD) environments. Company CEO Abhinav Asthana said the AI Engineer significantly reduces the […]
Microsoft Copilot Studio Brings Computer-Using Agents to the Enterprise
For years, IT and DevOps teams have wrestled with the same stubborn problem: how do you automate workflows in systems that were never built for automation? Legacy apps, vendor portals, and proprietary line-of-business platforms rarely offer APIs. That means someone, usually a human, ends up clicking through screens, entering data, and completing transactions by hand. […]
Lineaje Adds Ability to Automatically Apply Governance Policies to AI Components
Lineaje this week unfurled a platform that automatically discovers the artificial intelligence components of an application, defines security and governance policies, and then autonomously generates guardrails. At the core of the Lineaje UnifAI platform are a set of artificial intelligence (AI) capabilities that are integrated with an orchestration framework for applying governance policies that has […]
Why Responsible AI Isn’t Optional in DevOps — it is the Next Frontier of Ownership
The integration of AI in DevOps brings both opportunities and accountability challenges. This article explores the implications of AI decision-making within CI/CD pipelines and emphasizes the need for governance frameworks to ensure responsible AI use while maintaining trust and efficiency.
Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering
Discover strategies for managing AI-generated technical debt and maintaining quality in software delivery as engineering teams accelerate their development processes.
Secure Governance and Scalable Management for AI Models
At swampUP 2025, Yuval Fernbach, vice president and CTO of MLOps at JFrog, and Adel El Hallak, senior director of product for NVIDIA AI Enterprise, discuss how JFrog is integrating machine learning operations (MLOps) into its platform strategy. Fernbach, who joined JFrog through its acquisition of Qwak, outlined how JFrog is extending its mission beyond […]
Enterprise AI Development Gets a Major Upgrade: Claude Code Now Bundled with Team and Enterprise Plans
Enterprise development teams have faced an impossible choice: move fast with cutting-edge AI coding tools or maintain the security and governance standards their organizations demand. Today, that tradeoff no longer exists. Anthropic has announced that Claude Code, their powerful AI coding agent, is now bundled with Team and Enterprise plans—addressing what the company calls “the […]
Will Policy-as-Code Still Matter if AI Generates Most Code?
Organizations should start embedding PaC into their AI workflows today. Tools and emerging AI-focused platforms are the first line of defense in the automated future.
How to Get Platform Engineering Just Right
Getting platform engineering right helps organizations create an environment that drives their teams to develop solutions more efficiently.