I had the opportunity to get a new development machine and it had to be a laptop. I’ve used solely Windows machines in the past and was always annoyed to see my peers, using a Mac, have awesome battery life and could have their laptop on their lap or table without melting the surface and never have fans turning on when doing simple stuff.
That’s a couple of reasons I chose to get a Macbook Pro myself this time.
Read more →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.
Read more →It’s not something a lot of people need to do on a regular basis, but when you do, you don’t want to spend a lot of time doing it. I’m referring to the process of “create an SDK for your APIs”.
When your service is exposing endpoints for your consumers to use, it’s easy to refer them to using raw endpoints and let them figure out how to deal with it based on the Open API specifications (formerly known as Swagger) provided.
Read more →