AI learning resources for Rubyists in a post-vibe-code world
Hi,
As you can probably tell from my post title, I'm looking for something to learn that will extend my career as a programmer in this post-vibe-code world.
Hehe, my intro was dramatic, but that's the gist of it. I'd like to use a small educational budget that my job provides. Honestly, it used to be easier to pick, there was more time to read, learn and practice. Now my boss and colleagues pretend and tell me to push the books into RAG and let the agent code using the book's knowledge, and so on. They live under the order to automate and that the AI agent should make it faster, and they said, you should feed the company's knowledge base and architect your ideas. Honestly, I don't buy it.
Since my boss is pretty excited about everything AI-related, and he told us that he's willing to pay for AI-related things, and that anyone who comes asking for something else might as well just fossilise. I'm looking for some resources in this area. Do you have any ideas? Recommendations?
I was thinking of starting to create agents or learning to fine-tune models. Strong security concepts are always welcome. I use AI agents as a pair-programming buddy, sometimes for planning, for prototyping, for writing some testing code, for deleting dead code, for creating tickets in Jira quickly, or for asking things I just don't know.
My background is backend software development using Ruby, a lot of Rails, Elixir, and a couple of years doing small apps/services with Rust. I'm not unfamiliar with Python. I worked with different kinds of architectures, and I worked as a freelancer and employee for startups, scale-ups and enterprise organisations.
Regards and thanks,
Arsenio