There’s a new feature over here, my weekly links archive.
Every week a page will be added automatically based on content I have read and found interesting to share. I’m using a self-hosted Linkwarden instance to collect pages and links for a variety of topics. For the purpose of this weekly links archive I have created a new tag called Newsletter which I use to fetch the weekly links to share with all of you.
Read more →I have been a long time user of Tailscale, a very easy to use VPN mesh system, to connect to my home network when I’m not at home. There are other solutions, like NordVPN Meshnet, but I learned about Tailscale first. It’s especially useful when using your local DNS (PiHole) and taking advantage of the sites blocked by it.
Currently, I’m in the process of self-hosting services a bit more. Relying in (free) cloud services that might be turned on/off at a moment notice or removing features I use is something I’ve seen happen a bit too much lately.
Read more →In an earlier post I wrote about using Semantic Kernel to create an Agentic AI solution, all using C#. Of course, similar flows can be created with Python. To try this, I’ve created a sample solution to update a resume so it’s more likely to pass the ATS requirements used by various companies nowadays.
My sample is heavilly inspired by Gian Paolo Santopaolo his CV-Pilot repository, which I was not able to use due to the CrewAI tooling phoning home and my DNS (PiHole) blocking those requests.
Read more →We are finally at a state in the GenAI-space where we can create agentic AI solutions with ease.
I’m most familiar with Semantic Kernel, when working with LLMs, and this library works great for creating these solutions.
In a nutshell, what you need to do is create a group chat, add your agents to it, and then let them work together to solve a problem.
Do keep in mind, at the time of this writing, version 1.
Read more →I’m very happy GitHub Copilot exists and lately with the Agent-mode it’s even better. It’s making sure I can focus on the relevant pieces of my solutions and not have to worry too much about the plumbing part.
The models it’s using are quite powerful and contains a lot of (old) data. When using new libraries or versions of already existing libraries, the LLMs used under the hood often don’t provide useful suggestions or edits.
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