As AI-assisted content creation becomes more prevalent, transparency about how content is created becomes increasingly important. This post explains how we implemented a comprehensive AI metadata system in our Docusaurus blog, following theme conventions and providing clear visibility into AI involvement in content creation.

In this post, we'll explore how to use Claude Desktop with the Model Context Protocol (MCP) GitHub Server to manage repository changes effectively. We'll cover setup, capabilities, limitations, and effective pair programming strategies, using our recent implementation of AI metadata in Docusaurus as a practical example.

Following our previous discussion on the differences between monitoring and observability, let's dive into the practical aspects of implementing observability in cloud-native environments. This guide will walk through real-world strategies, tools, and best practices for building observable systems in modern cloud architectures.

In the ever-evolving landscape of IT infrastructure, understanding the nuances between observability and monitoring is crucial. These two concepts, though related, serve distinct purposes in maintaining and optimizing system performance. Here’s a deeper dive into their differences, practical implementations, and why both are essential for modern IT operations.