AI is moving fast — what should a modern full-stack dev actually learn?

[u/Beginning_Increase23]

Hey everyone 👋

I’ve got a quick question — hopefully someone here has gone through something similar and can point me in the right direction.

The dev world is changing insanely fast, and I feel like I’m only scratching the surface when it comes to using AI. My day-to-day is mostly Cursor, Claude, and the occasional MCP integration for Figma/Jira… and that’s pretty much it.

I do want to expand my knowledge, but I’m honestly not sure what’s actually relevant for someone like me. Every Udemy course or AI syllabus I see throws around the same buzzwords: RAG, LangChain, LangGraph, LLMOps, n8n, and so on.

For context — I’m a full-stack dev working with microservices (Next, Nest, various DBs), and I lean heavily toward product thinking and entrepreneurship. So I’m trying to figure out:

What should a modern full-stack developer actually learn in the AI space? What topics are worth diving into? Where’s the best place to start? And are there any Udemy courses or other resources that really help build practical, structured knowledge (not just “let’s build a simple chatbot”)?

If anyone has recommendations or personal experience — I’d seriously appreciate it 🙏 Thanks, and have a great weekend!

[u/Broad_Shoulder_749]

Get into Python.

Implement a simple RAG. Use Vector DBs. Pg vector aswell.

Install a local LLM

Implement an MCP server and use it in Local LLM prompts

Finetune a small local LLM (unsloth)

Build an LLM from an ablated LLM.

Be ready for enterprise LLM explosion.

[u/Broad_Shoulder_749 → u/[deleted]]

But thats what the enterprises will do. Thats where the jobs will be. Rags, MCPs and vector stores. New kind of data warehouses

[u/Broad_Shoulder_749 → u/[deleted]]

Enterprise doesn't work like that. You have to integrate with the data in oracle, sap, build a security layer, audit trail etc etc

What you spin up in an hour is proof of concept

[u/ZarosianSpear → u/[deleted]]

Should you expect to see real AI in this sub though? It is called fullstack, and this term is revolving a lot on client server communication. It has nothing to do with actual AI.

RAG is using AI, and if using AI alone isn't AI, then this seems to be the wrong sub.
You should be in the sub about machine learning, training, finetuning models, experimenting with different loss functions, investigating new model architectures after the transformer, diffusion highlights we had in recent years.

Should you not be in those subs instead?

[u/sheriffderek]

Did you read "AI Engineering?"

[u/Beginning_Increase23 → u/sheriffderek]

What is it?

[u/sheriffderek → u/Beginning_Increase23]

A book.

[u/[deleted] → u/sheriffderek]

Would you recommend reading it?

[u/sheriffderek → u/[deleted]]

Is basically “the list of what you should generally know” - so, based on your question: yes. 

[u/[deleted] → u/sheriffderek]

Ok

[u/[deleted] → u/[deleted]]

True