Hands-on tutorials in the languages you use, plus AI and agentic AI explained without the hype. Pick a section below — each one is its own dedicated page. Looking for interview prep or tech news? Those now have their own dedicated sections.
Two dedicated sections — click through to browse just that one, with nothing else mixed in.
A step-by-step look at what actually goes into an agent that can plan, write, run and fix its own code — and the guardrails that keep it from going rogue.
The newest few, from every section. For the full list of a topic, open its section above.
Two ways to make a model “know” your data, with very different costs and failure modes. A framework for deciding which one your feature actually needs.
map, filter and reduce look scary until you see them side by side. A plain-English walkthrough of the loop each one secretly replaces.
A step-by-step look at what actually goes into an agent that can plan, write, run and fix its own code — and the guardrails that keep it from going rogue.
That one-line Python syntax that looks backwards until you read it out loud correctly. Here’s the plain-English translation.
Context windows went from 4K tokens to over a million in a few years. Here’s what the number really controls, and where more isn’t always better.
Go’s two biggest concurrency ideas, explained with a kitchen analogy instead of a computer-science lecture.