Building AI Agents with Java and Semantic Kernel

Cloud Commute

In this episode of Simplyblock's Cloud Commute Podcast, Bruno Borges, Principal Product Manager at Microsoft, discusses millions of Java instances at Microsoft and the role of the Microsoft Java team. He introduces Semantic Kernel, a Java library for integrating AI into business applications, using large language models. Tune in to learn how Microsoft is shaping the future of development and AI integration.

In this episode of Cloud Commute, Chris and Bruno discuss:

• Java’s evolution at Microsoft and OpenJDK initiatives
• AI integration and the role of the Semantic Kernel in intelligent applications
• The rise of remote development environments
• The future of AI and LLMs in software development

Interested to learn more about the cloud infrastructure stack like storage, security, and Kubernetes? Head to our website for more episodes, and follow us on Linkedin. You can also check out the detailed show notes on Youtube.

You can find Bruno Borges on X @brunoborges and Linkedin: /brunocborges.

About simplyblock:

Simplyblock is an intelligent database storage orchestrator for IO-intensive workloads in Kubernetes, including databases and analytics solutions. It uses smart NVMe caching to speed up read I/O latency and queries. A single system connects local NVMe disks, GP3 volumes, and S3 making it easier to handle storage capacity and performance. With the benefits of thin provisioning, storage tiering, and volume pooling, your database workloads get better performance at lower cost without changes to existing AWS infrastructure.

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