Artificial Intelligence (AI) - especially Large Language Models (LLMs) - are on everyone's lips. Now they should not only generate text, images, video, and audio, but also operate the software we work with as humans. To increase efficiency and make human-machine interfaces more natural. In this blog post, we offer a simple introduction to the Model Context Protocol (MCP) and share our first experiences with it. Additionally, we examine the integration of APIs via the OpenAPI standard through the MCP.

FastAPI vs. Robyn: A Detailed Comparison

In the world of modern API development, developers are often faced with the question: Which framework is right for my project? FastAPI and Robyn are two of the (more or less) rising stars in Python API development. Both offer modern features and high performance, but differ in several important aspects. In this article, we will explore these differences. We take a detailed look at the commonalities and differences between these two frameworks.

Effective error tracking in Django with Sentry

Errors happen in productive environments. And the worst thing is when you only find out about them through the users. This is exactly where Sentry comes into play. One look at the dashboard and you can see what's happening: A clear stack trace, the affected user and how often the error has already occurred.