Master modern backend development with in-depth tutorials, practical guides, and real-world examples using Kotlin and Spring Boot.
Enhance your IntelliJ IDEA workflow with AI assistance using the MCP Server plugin. This guide walks through installation, configuration, and best practices for integrating AI capabilities into your development environment.
Discover how Model Context Protocol (MCP) revolutionizes AI development by providing a standardized way to connect AI models with external tools and data sources. Learn about its key components, capabilities, and why it's becoming essential for modern AI systems.
The start of 2025 brought a groundbreaking development in artificial intelligence with DeepSeek R1, an open-source reasoning model that's reshaping the AI landscape. Using innovative MoE architecture and novel training approaches, it offers unprecedented accessibility and performance.
Master structured responses in Spring AI with Kotlin to get type-safe, predictable outputs from AI models. Learn how to map AI responses to your domain objects and handle them efficiently in your Spring Boot applications.
Want to add AI capabilities to your Spring Boot application? Learn how to integrate OpenAI's powerful API using Spring AI framework, with complete code examples in Kotlin and production-ready practices for error handling, testing, and security.
As artificial intelligence continues to evolve, AI agents have become increasingly important in modern software development. For JVM developers working with Kotlin and Java, understanding AI agents is crucial for building intelligent applications. In the futue, we'll be writing more posts on how to integrate AI agents in JVM environments. But before doing that, we need to understand what AI agents really are. Key Takeaways * AI agents are autonomous software programs that interact with their
Enhance your IntelliJ IDEA workflow with AI assistance using the MCP Server plugin. This guide walks through installation, configuration, and best practices for integrating AI capabilities into your development environment.
Master Kotlin data classes in Spring Boot applications. Learn how to create efficient DTOs, map entities, and implement best practices. Includes real-world examples for REST APIs, JPA entities, and request/response handling.
Discover how to implement scheduled tasks in your Kotlin Spring Boot application using the @Scheduled annotation. Learn about fixed rate execution, fixed delay patterns, cron expressions, and best practices for production environments