Fundamentals first, then LLMs

There is a real temptation to reach for an LLM the moment you hit a problem. And honestly, they are impressive — until you do not understand the answer they give you, or the system breaks in a way you cannot reason through. That is where fundamentals make the difference.


TechART is built on a simple conviction: when you properly understand how networking, cloud infrastructure, or application architecture works, LLMs stop being a crutch and start being a genuine accelerator. You can validate what they produce, adapt it to your context, and spot when something is wrong. That kind of judgment only comes from building the foundations first.

The way I think about learning

Foundations do not expire

Networking basics, system design, how data flows — these are still the same whether you are using bare metal or a managed AI service. Start here and everything else gets easier.

Build it before you abstract it

Every concept in this channel is walked through with a working implementation. Not slides, not high-level diagrams — actual code you can run, inspect, and break to see what happens.

Then let AI accelerate you

Once you have a proper mental model, AI tools become genuine multipliers. Without it, they are shortcuts you cannot explain — and that catches up with you.