Making my development workflow as fast as possible is a big passion of mine. From customizing my development setup to get the last inkling of efficiency out of it, to thinking how to manage notes and knowledge resources to access them as quickly as possible. With the sudden ubiquity of AI in development tools, I came to wonder how AI could help me write code faster. Being quite the skeptic when it comes to AI actually generating code for me (using tools such as Cursor or GitHub Copilot), I came to investigate AI agents which specialise in code reviews. In this blog post I will share my experience using such an agent on a real world case. I will explore where such agents shine and where they are severely lacking.

GitOps is getting adopted more and more. However, there still seems to be some confusion as to what GitOps is, how it differs from regular CI/CD pipelines, and how to best adopt it. In this post we will quickly cover what GitOps is, and the three main lessons learned from using GitOps to manage infrastructure at scale both on premise and in the cloud.

Containers are everywhere. From Kubernetes for orchestrating deployments and simplifing operations to Dev Containers for flexible yet reproducible development environments. Yet, while they are ubiquitous, images are often built sub-optimally. In this post we will be looking at a full example of a Docker build for a Python application and what best practices to consider.