An introductory tutorial for Java developers on writing AI-infused applications using Quarkus with LangChain4j. You don't need Python to write AI apps.
JNI is powerful but tricky. Automate boilerplate with generators, carefully manage references, test with CheckJNI, and embrace the chaos; it gets satisfying.
Spring AI agentic patterns show how to coordinate multiple ChatClient calls to LLMs. We look at how Dapr Workflows can make these interactions durable and resilient.
Learn why using Postman's 'Fix test' may mask bugs — tips to investigate failures, preserve test intent, and protect API reliability. Verify, then act.
Learn how to build a simple API that delivers believable fake users, perfect for testing, demos, or UI prototyping. No more “John Doe” data, finally, real-feel mocks.
A practical guide to evaluating LLM-powered voice assistants using multi-dimensional metrics covering helpfulness, accuracy, safety, and system performance.
Learn about digital twin technology using Python in supply chain management: model supply chain networks, enhance decision-making, and optimize operations.
AI doesn’t need new infrastructure — just smarter use of what you already have. Scale it securely and efficiently using your existing Cisco and VMware infrastructure.
The primary objective of this article is to prevent the "out of memory-Java heap issue" when reading large Excel files using the open-source "sjxlsx" library.
This is the final blog post in a series covering the conversion of Apache ActiveMQ to Jakarta EE and JDK 17 to share best practices with enterprise software developers.