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What's Next in Perforce Intelligence: Building the Control Plane for Enterprise AI

Perforce Intelligence is in its next phase to help our customers and partners get solutions, platforms, and features that bring control at every stage of the AI software development lifecycle (AI SDLC). Read about the evolution of Perforce Intelligence and new platforms and features we’ve rolled out to make AI easier to adopt for production-ready environmental needs. Back to top.

Get Started With MCP Proxies on WSO2 Platform AI Gateway

Deploy an MCP server through WSO2 Platform AI Gateway in a few commands — running entirely on your own infrastructure. This quickstart shows you how to set up MCP proxies on WSO2 Platform AI Gateway as a standalone component via Docker. You'll start a sample MCP server, deploy it as an MCP proxy configuration to the gateway, and verify it using the official Model Context Protocol Inspector. What you'll cover.

Debugging Tools Guide: 13 Tools to Fix Bugs Faster

Debugging tools have evolved from rudimentary catch-all software into specialist solutions for different languages, userbases and development stages. The best debugging strategies choose the right tool for their specific use case, and this guide will help you do that. We’ll give you the knowledge to: We’ll mention our own product in this list, but don’t worry: the content you’ll find here is impartial, comprehensive and educational, not salesy.

Open Source Security, Licensing, and Other Challenges (2026 State of Open Source Report)

Is open source licensing still a major challenge for enterprises—or has security become the bigger concern? In this clip from the 2026 State of Open Source Report webinar, experts from the Eclipse Foundation, Open Source Initiative (OSI), and Perforce OpenLogic discuss how open source adoption challenges have evolved over the past decade. While licensing complexity was once a top concern for organizations, the maturation of the open source ecosystem and the widespread adoption of well-established licenses have helped reduce that burden.

How Vehicle Wrap Design Software Integrates With Business Operations

Vehicle wrap businesses manage a surprisingly complex set of moving parts, from client briefs and design revisions to material procurement, installation scheduling, invoicing, and real-time job tracking. The software used to create wrap designs sits at the center of this workflow, and whether it integrates with the rest of the business often determines how efficiently projects move from concept to completion.

Rubber Duck Debugging: How to Find and Fix Logic Bugs

Rubber duck debugging allows us to discover our own coding errors by retracing our steps. Instead of relying on complex black-box tools, we simply explain our own logic until the problem reveals itself. This is one of the most straightforward debugging techniques around, and it can be easily enhanced by AI tools.

Is AI making your teams better, or just busier?

AI adoption programs tend to end in the same place. Tools are accessible, usage is up, and there's a dedicated Slack channel for wins. Six months later, nothing about how the team works has fundamentally changed. People are doing the same things – just slightly faster. And it’s easy for programs to stall when you’re measuring the wrong thing. Adoption (whether people have access and whether they're using the tools) is visible and easy to report.

AI Agents Deployed, but what about cost optimization?

AI agents are no longer a pilot-stage bet. As of 2026, 80% of enterprises have at least one production AI agent deployed. The global AI agents market has crossed $10.91 billion and is sprinting toward $52.62 billion by 2030. The cost-per-task economics are staggering: a human-handled customer support ticket costs $4.18 on average. An AI agent resolves the same ticket for $0.46. That is a 9x cost reduction, right there.