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Multiple projects are underway to bring Rust into alignment with the requirements of safety-critical development. Learn about the latest updates around Rust standards and guidelines currently in progress.

The Rust programming language is becoming increasingly popular for its built-in, memory-safety capabilities. But Rust alone is not enough to meet functional safety requirements. Watch the webinar to learn how Rust static analysis helps fulfill compliance requirements for safety standards.

In this clip from a recent webinar, “From Legacy to Long-Term Stability: Practical Strategies for Web App Framework Migrations,” Zend Senior Solutions Engineer Yeshua Hall discusses a data-first approach to the strangler fig pattern, where business logic and database interactions are extracted before rebuilding the user experience. This strategy simplifies data migration, accelerates modernization efforts, and provides a flexible foundation for future development.

In this clip from a recent webinar, “From Legacy to Long-Term Stability: Practical Strategies for Web App Framework Migrations,” Zend Senior Solutions Engineer Yeshua Hall explores the strangler fig pattern, one of the most widely recommended strategies for web application and PHP framework migrations. This clip covers how the strangler fig pattern works, why it reduces migration risk, and how you can test, deploy, and validate changes throughout your migration.

Migrating to a modern PHP framework involves more than moving code. Legacy applications often rely on patterns and practices that don't translate directly to frameworks like Laravel, Symfony, Laminas, or Mezzio.

Choosing the right PHP framework means balancing developer experience, performance, stability, and long-term maintenance. In this clip from a recent webinar, “From Legacy to Long-Term Stability: Practical Strategies for Web App Framework Migrations,” Zend Senior Solutions Engineer Yeshua Hall breaks down the strengths and trade-offs of today's most popular backend frameworks, including Laravel, Symfony, Laminas, and Mezzio.

Join the IPLM product team as they review important Q2 product updates including protected properties, filtering, shopping cart, and Pi Release dry run. Includes a demo of the new Perforce IPLM "Ask AI" capability utilizing our MCP and RAG servers.

Your testing strategy was built for a world before AI wrote code. That world is gone. AI is now generating code, reviewing pull requests, writing tests, and analyzing defects, faster than any team can validate it manually. In this session, Perforce CTO leaders Anjali Arora and Rod Cope sit down with VP of Product Steven Feloney to break down why traditional test automation can't keep pace, and what comes next.

Software testing is struggling to keep pace with modern release cycles. More code, faster deployments, fragmented tools, and increasing quality demands are creating bottlenecks for QA, engineering, and DevOps teams. Discover how Perforce Autonomous Testing transforms the way teams validate software by bringing functional, performance, web, mobile, and desktop testing together through a unified AI-driven experience. Using natural language, teams can define testing intent, automate execution, orchestrate complex workflows, and gain actionable insights faster than ever before.

Traditional test automation is slowing teams down with brittle scripts, constant maintenance, and growing complexity. Perforce Autonomous Testing changes the game with enterprise-grade AI-powered testing that helps teams create, execute, maintain, and analyze tests using natural language—without scripts, frameworks, or ongoing upkeep.