Systems | Development | Analytics | API | Testing

Perforce Intelligence transforms AI from hype to the heart of your DevOps lifecycle. Deliver real business outcomes with trusted, enterprise-grade AI built for speed, scale, and impact. Turn AI ambitions into real results!

Curious to know what inspired the creation of the Astera AI Agent Builder – the fastest way to build, test and launch autonomous AI agents with your enterprise data? In the first episode of Round Table Series, join our AI Product Strategist Ayesha Amjad, AI Product Specialist Muhammad Hasham Qazi, and Software Architect Humza Khatri as they share the story behind the innovation. They’ll talk about the reasons that sparked the idea, the challenges they tackled, and how they’re shaping the future of AI-powered agents with Astera.

It covers the full workflow, from ingesting documents into a vector database of your choice, to setting up and deploying the AI Agent, showcasing how you can configure data retrieval for precise and concise responses.. Learn more : wso2.com/devant.

What if you could build your own customer service agent that handles real-world support queries automatically, saving time for both customers and our team? Maryam Ahmad from our PRD team did just that using Astera’s low-code and drag-and-drop interface. With Astera AI Agent Builder, Maryam created an intelligent agent designed to handle key customer service tasks for an e-commerce platform: checking order status, cancelling orders, and providing information on refund and return policies, all through a seamless conversational interface.

Steffen Hoellinger, CEO of Airy, details how they use AI and data streaming to increase developer productivity and enable a self-serve data experience for business users.

AI is transforming testing—but not without its challenges. According to the State of Software Quality Report 2025, 46% of testers cite the lack of skilled personnel or the steep learning curve as major barriers to adopting AI in software testing. In this insightful message, we highlight one of the most pressing issues in the QA space: while AI has immense potential to drive efficiency and quality, teams are struggling to fully capitalize on it due to limited expertise.