Systems | Development | Analytics | API | Testing

Still running an older PHP version and not sure how to upgrade safely? In this clip from “The 2026 State of PHP” webinar, Zend PHP experts break down how to update PHP versions and discuss why it’s a critical part of legacy software modernization. For years, PHP was easy: install it, run it, and forget it. But today, organizations are being forced to rethink that approach as older versions reach end-of-life — leaving applications without security updates or support. And PHP LTS? It’s often the best answer.

Can AI solve the PHP talent shortage — or does it introduce new challenges? In this clip from a recent Zend webinar, “The 2026 State of PHP,” PHP experts Matthew Weier O’Phinney and Adam Culp explore how AI web development is changing the way teams modernize applications, and why AI alone isn’t the answer. AI is already accelerating development workflows, helping teams generate code, document processes, and move faster through modernization projects. But when it comes to replacing skilled engineers, the reality is more nuanced.

The context graph — not the UI layer or system of record — is the true competitive IP of the AI era, and Kong built Context Mesh to help companies govern it. Without the right context layer, AI agents are generic and interchangeable regardless of which LLM is underneath. Companies that own and protect their context graph can differentiate their agentic workflows; those that don't are left with legacy CRUD backends that don't translate to agentic use cases. Context Mesh gives enterprises policy and governance over what agents can consume — the rulebook for all context flowing in and out.#Shorts.

More than 70% of organizations say DevOps strategy is a high or extremely high driver of business value. If you’re still struggling to reap such benefits and scale across the full application portfolio, this webinar will show you what leading teams are doing to close the gap.

AI-assisted code remediation helps you analyze issues faster by using deep, contextual data to suggest highly accurate fixes. Watch this demo to see how the AI-assisted code remediation feature works in Perforce QAC.