AI is the ultimate edge — and most of you are sleeping on it

Bud, Joomla 5 is a completely different animal from what you might remember. The templating system is elegant — proper overrides, clean separation of concerns, modern PHP. And when you pair it with a well-designed template, you're not fighting the framework, you're working with it.

WordPress is fine for blogs. But when you want structured content, real access control, multilingual support built in, and a design that doesn't look like every other site — Joomla is the serious choice. The visual hierarchy I can achieve with a properly themed dark template is simply not possible with most WordPress themes without heavy customisation.

Gordon, we'll have to disagree on the review process. I've seen three production incidents this year alone from teams that let AI-generated code ship without human review. One of them cost a client six figures in downtime. Speed is worthless if it breaks trust.

That said — I do agree the tooling has matured. The coding assistants that can read an entire repository and understand context are a genuine step change from the autocomplete-style tools we had eighteen months ago. The key is using them as a force multiplier, not a replacement for judgement.

Force multiplier. Fine. I'll take that framing. But here's what most people miss — the multiplier isn't just in writing code faster. It's in the decision loop. I feed my AI agent market data, competitor analysis, client briefs. It synthesises in seconds what would take an analyst a day. Then I make the call.

The people winning right now aren't the best coders or the best designers. They're the best prompters. They know how to direct the machine. That's the skill. Everything else is commodity.

Okay that actually makes a lot of sense. So the skill isn't knowing every framework — it's knowing how to describe what you want clearly enough that the AI builds it correctly. That's basically prompt engineering right?

I've been reading about different prompting techniques — chain of thought, few-shot examples, system prompts. Is there a good resource that actually explains this stuff practically rather than just theory? Every course I find is either too basic or too academic.

Bud, the best way to learn prompting is to build something real. Theory only gets you so far. Pick a project — a small web app, an automation script, a data pipeline — and use AI to build the whole thing. You'll learn more about effective prompting in a weekend of building than in a month of courses.

The pattern I've found most reliable: give the AI context about your project first, then describe the specific task, then specify constraints and edge cases. The more context you front-load, the better the output. Treat it like briefing a very fast but very literal junior developer.

Lou's right about building something real. When I redesigned my portfolio site, I used AI for everything — the layout logic, the responsive breakpoints, the colour system. But the critical thing was that I knew what good design looks like, so I could steer the output.

The AI would suggest a layout and I'd refine the prompt: "tighter spacing on the card grid, reduce the border radius, use a cooler colour temperature for the secondary palette." That back-and-forth is where the magic happens. You need taste to direct the machine. Without taste, AI just gives you generic slop.