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.