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Articole: 11
  1. Observability is becoming essential in modern applications, especially when they run in distributed environments like Kubernetes.

  2. In this article, you will learn how to set up continuous development with the Claude GitHub App and Claude Code.

  3. In this article, you’ll learn how to build a REST API using Apache Camel on top of Quarkus.

  4. This article uses straightforward Spring Boot examples to illustrate how your application can inadvertently lose messages or process them twice due to the Kafka offset commit mechanism.

  5. A few days ago, I published my proposition of the Claude Code template for a typical Spring Boot application in this GitHub repository.

  6. This article explains how to use the new Java features provided within Project Leyden to speed up Spring Boot application startup.

  7. This article explains how to use LM Studio to run AI models locally and use them in a Java application with Spring AI and Spring Boot.

  8. This article explains how to run Claude Code on OpenShift as a VSCode plugin and then integrate it with AI models deployed on OpenShift using vLLM. vLLM supports the Anthropic Messages API, which Claude Code by default uses to communicate with Anthropic’s…

  9. This article explains how to run AI models locally in containers with RamaLama and integrate the sample Java application with them.

  10. This article explains how to run Claude Code on Ollama and use local or cloud models served by Ollama to create Java apps.

  11. This article explains how to integrate Spring AI with external MCP servers that provide APIs for popular tools such as GitHub and SonarQube.