Claude-modellen van Anthropic: Zijn ze slimmer dan ChatGPT?
Anthropic lanceert Claude 4, een AI-model met indrukwekkende hybride denkcapaciteiten en coding-prestaties, gericht op veiligheid en flexibiliteit.
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OpenAI’s Modeluniversum in 2025: van GPT-4.1 tot o4-mini, welke AI past bij uw bedrijf?
Een glasheldere gids door OpenAI’s GPT-, o- en multimodale modellen. Leer welke variant u nodig hebt, wat hij kost en waarom “groter” niet altijd “beter” is voor uw kmo-project.
Slimmer werken, minder kosten: Vlaamse kmo’s ontdekken AI
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Facebook en Instagram vissen vanaf morgen in je foto’s: zo houd je hen nog tegen
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Pakistan laat 2.000 megawatt los op bitcoin-miners en AI-clusters
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Kunstmatige intelligentie die doorwerkt als een kantoormedewerker: Anthropic lanceert Claude 4
Anthropic lanceert Claude 4, een AI-assistent die zeven uur aan een stuk kan programmeren. De nieuwe modellen Opus 4 en Sonnet 4 kunnen complexe taken uitvoeren, het internet doorzoeken tijdens het denken en belangrijke informatie onthouden voor later gebruik.
Ship Frontends at Warp Speed with Claude Code + the Max Plan
Claude Code just became part of the Max plan, and it feels like strapping a rocket to our React stack. Boilerplate melts away, tests write themselves, and Decentri.fi ships features twice as fast—all in public.
Kotlin Sealed Classes vs. Data Classes: What's the Difference?
Sealed classes and data classes are powerful Kotlin features—but what’s the difference? In this post, we’ll explore their key distinctions, practical use cases, and how combining them can improve your Kotlin code.
Getting AI-Powered Code Assistance with MCP Server in IntelliJ IDEA
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.
Kotlin Data Classes in Spring Boot
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.
Understanding @Scheduled in Spring Boot with Kotlin
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
Understanding Dependency Injection in Kotlin Spring Boot: A Practical Guide
Explore how to implement dependency injection effectively in Kotlin Spring Boot projects. Learn about constructor injection, property injection, and method injection with real-world examples and best practices for creating maintainable applications.
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Understanding MCP (Model Context Protocol)
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.
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application.properties vs application.yml in Spring Boot: Making the Right Choice
Explore the differences between application.properties and application.yml in Spring Boot. Learn when to use each format, how to implement type-safe configuration with Kotlin, and follow best practices for organizing your application settings.
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Essential Spring Boot Annotations in Kotlin: A Developer's Guide
Discover how to effectively use Spring Boot annotations in your Kotlin applications. This comprehensive guide covers essential annotations, provides real-world examples, and highlights best practices for clean, maintainable code.
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Setting Up Your First Kotlin Spring Boot Project
Get started with Kotlin Spring Boot development using this comprehensive guide. Learn how to set up a new project, understand the basic structure, and create your first endpoint with practical examples and best practices.
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Database Migrations with Flyway in Spring Boot and Kotlin
Master database migrations in Spring Boot applications using Flyway. Learn how to set up, organize, and manage database changes effectively with practical examples in Kotlin. Includes best practices for production environments and common troubleshooting tips.
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Repository Pattern in Spring Boot with Kotlin
Master the Repository pattern in Spring Boot using Kotlin. Learn how to structure your data access layer, implement custom repositories, and follow best practices for clean, maintainable code. Includes practical examples and common pitfalls to avoid.
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Implementing DeepSeek R1 in Spring Boot Applications: A Complete Guide
A practical guide to implementing DeepSeek R1 in Spring Boot applications using Spring AI. Learn how to configure and use this cost-effective AI solution with Spring Boot's powerful framework.
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DeepSeek R1: A New Era in Open Source AI
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.
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Spring Autowiring in Kotlin: A Complete Guide
Learn how to effectively use Spring's autowiring capabilities in Kotlin applications. This guide covers constructor injection, component scanning, testing strategies, and best practices for clean, maintainable code.
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Deploying Spring Boot Applications to Kubernetes: A Complete Guide
Master the process of deploying Spring Boot applications to Kubernetes, from creating optimized Docker images to implementing health checks and managing configurations. This practical guide covers everything you need for successful container deployment.
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Structured AI Responses in Spring Boot with Kotlin
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.
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Integrating OpenAI with Spring Boot and Kotlin: A Beginner's Guide
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.