Xavier Geerinck

The tech industry loves a good linear narrative.

TL;DR If you're shipping a TanStack Start app to Kubernetes today, your runner image is probably 2-3 GB: Bun + node_modules + the workspace graph + the SSR bundle.

Imagine you are building an Agentic AI tool that fetches the latest changes in your GitHub codebase and returns the results!

Too many organisations still talk about the AI Act as if it were only a legal or procurement issue.

For years, we’ve been told that "Software is eating the world."

What was thought to be an easy journey seemed to be quite "interesting", with MacOS not being the first candidate for vLLM.

As touched upon before, incremental loading is the holy grail of data engineering, as it reduces the compute power required, saving time and much needed compute costs.

PowerBI is an amazing dashboarding and report creation tool for BI, but with amazing tools come difficult architectures that we should try to fully understand to get the fullest out of it.

Are you looking to implement Business Intelligence (BI) in your organization but unsure where to begin?

Imagine, you are working with Big Data and you just learned that the Medallion architecture exists and you start creating your bronze layer.

We all know how amazing MCP is!

Claude recently introduced the MCP (or Model Context Protocol) which is an open standard for establishing unified context interaction between AI models and development environments.

So you have created a Kubernetes cluster with some pods installed on it and are ready to create your production application.

What was previously thought to be impossible, now became reality!

So you are writing a documentation page and you want to protect it?