AI-engineers kiezen voor native agentarchitecturen in plaats van LangChain

AI engineers are increasingly moving away from LangChain and similar frameworks toward native agent architectures to meet production requirements. While frameworks like LangChain accelerated initial development of large language model applications, they are proving insufficient for complex production environments. Native architectures offer better performance, scalability, and control, allowing engineers to build more robust AI systems tailored to specific use cases rather than relying on general-purpose frameworks.