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EU Cyber Resilience Act: Is Your Software Compliant? (2026 State of Open Source Report)

What does the EU Cyber Resilience Act (CRA) mean for open source software, software supply chain security, and regulatory compliance? In this clip from the 2026 State of Open Source Report webinar, experts discuss how the European Union's Cyber Resilience Act (CRA) is reshaping software security requirements for organizations that develop, distribute, and integrate software products. The panel explores why the CRA is one of the most significant regulatory developments affecting the software industry and how it impacts both commercial software vendors and the open source ecosystem.

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.

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.

The Perforce Delphix DevOps Data Platform Explained in Under 3 Minutes

Software teams move fast — until they hit a data bottleneck. Meet the Delphix DevOps Data Platform from Perforce. Delphix automates the delivery of compliant, production-quality, and AI-ready data so teams can validate and release software at AI speed. With Delphix, you can: Provision and refresh virtual datasets in minutes, not days or weeks. Automatically discover and mask sensitive data while preserving relationships across systems.

How durable sessions unify human-to-human and human-to-agent messages

AI chats are often a rather solitary experience: just you and ChatGPT, sitting there together, solving a problem. But so many of the tasks that we perform day to day are ones that benefit from, or often even require, collaboration with other people such as colleagues, family members, or friends. So, if AI agents are helpful, and other people are helpful, then how can we provide a space for multiple people to collaborate with each other and with AI agents?

Measuring Integration Dependency: Which Customer Integrations Contribute Most to Revenue?

Most real estate and PropTech product teams know they have too many integrations. What they struggle to answer is a sharper question: which ones actually matter? Surveying customers or tallying feature requests gives an incomplete picture. It conflates noise with signal and produces roadmaps full of integration work that never meaningfully moves retention, revenue, or product adoption.