Well now, are you using Docker? never heard of Docker? well perhaps you might want to ask AI to help there.

If you do use Docker to create containers of your apps/micro-services then what about Fly.io?

Fly.io is a public cloud infrastructure platform. Users deploy applications as Docker images, but Fly.io does not utilize Docker to run the applications.

Docker images are actually OCI (Open Container Initiative) images, which are essentially stacks of tarballs (are these similar to harballs that a cat has?). Fly.io unpacks these layers onto virtual machines and can retrieve the container manifest from the Docker registry.

Fly.io employs a custom registry to fetch and unpack image layers. It utilizes Firecracker microVMs for virtualization. Firecracker is a virtual machine manager that creates lightweight microVMs. Fly.io uses Firecracker to orchestrate these VMs, along with containerD for isolation. ContainerD is responsible for managing and unpacking application images, with each app instance running on its own isolated kernel.

There are some generous free options described here.

Well, what do you know? back to some frontend web stuff no less!

I have been using bootstrap CSS for years, and still do, but when I eventually realised Tailwind CSS was “something”, I have since been trying a few projects out with Tailwind CSS. However, because I am lazy and have been using WordPress with Elementor (page builder), I stumbled across dev dojo and some of their product offerings, one of which is “tails” - a page builder using Tailwind CSS no less! It looks really cool and produces a webpage/site with Tailwind CSS for the display aspects.

Interestingly, dev dojo also have a product called “pines” which using AlpineJS and TailwindCSS to build really stylish websites too… AlpineJS is an ultra-minimal JavaScript framework that I really must rediscover!

Until next time, take care!

We are not talking just chatbots - albeit more intelligent ones!

An AI agent/assistant can be tasked to do specific things to reach a goal and work with other agents, either in parallel, or sequential (i.e. do all these things first, then does this).

The cool thing is each AI agent can use a completely different model i.e. you don’t have to tie everything into just chatGPT/Open AI. You might find a different model or model sets beneficial for certain things.

Also, the big component is a mix of RAG (retrieval augmented generation), goal setting and external “tools” or functions where you can call out to external systems.

I will be creating a video (Just Fifteen Mins! as if I ever stick to any timeline!) to explain a few of these concepts in more details. I am also going to be creating a workshop course too! not overly technical, but mostly from a business perspective about the concepts and how they could benefit companies. Again, we are not talking just fancy chatbots!

Until next time, take care everyone!

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