I was having a conversation recently about what tools to teach in an AI coding workshop. And I caught myself saying something I wouldn’t have said six months earlier.
“I would not teach Cursor at all.”
Six months ago that would have been a strange take. Cursor was the hot tool for AI-assisted coding. If someone came to me asking where to start, Cursor was on the list.
Now? The whole direction has shifted. Vibe coding tools — Lovable, Supabase, Google AI Studio — have made the barrier so much lower that what made Cursor special is basically just what you’d expect. The category evolved past it.
This is what makes AI different from every other technology shift I’ve lived through. Seven months in AI is a lifetime.
The Workshop That Needed Rewriting
Before one of my AI workshops last year, GPT-5 dropped. My first thought was a genuine “oh man, do I need to update my whole deck now?”
I did.
It wasn’t that the old material was wrong. It just wasn’t… current anymore. Some of the tools I’d built examples around had gotten so much better that the examples looked clunky. Some frameworks I’d recommended had been leapfrogged.
This happens regularly. I’ll spend a week building a curriculum, and then something comes out that changes the context. New model. Better no-code tool. An approach that makes the old one feel like going the long way around.
After a while, you stop being surprised by this. You just build rewriting time into the process.
People Keep Coming Back
The most interesting thing I’ve noticed: some of the same people who came to my first AI workshop came back to a second one a few months later.
Not because they forgot the material. Because everything had changed.
Nobody has time to keep up with all the AI developments on their own. There’s too much noise. Too many tools releasing every week. Too many announcements that are actually incremental. People want someone to filter it for them, synthesize it, and give them a clear picture of what actually matters now.
Nobody warns you when your AI knowledge expires. But it does.
What I’d Teach Today
If I were designing an AI workshop curriculum from scratch this week, here’s what I’d focus on:
Google AI Studio. Seriously underrated. It’s one of the best tools available right now and most people haven’t touched it. Free to use, capable, and a great starting point for building things.
Lovable + Supabase. This combination is what I’d point anyone to for actually building products. Lovable for the front end and UI, Supabase for the backend and database. You can go from idea to working prototype fast.
Lindy for automation. For non-developers who want to build workflows and automations without code, Lindy is the clearest path. It handles the complexity without requiring you to understand every API.
Seven months ago? Different list entirely. And seven months from now… probably different again.
The tools aren’t the point. The tool stack is a snapshot. It reflects where AI capabilities are right now, at this moment — but that changes faster than any curriculum can keep up with.
The Skill Nobody Talks About
The people who stay ahead in AI aren’t the ones who know the most tools. I’ve seen plenty of people who memorized every product in the AI ecosystem and still fall behind.
What actually helps is getting comfortable with unlearning.
The instinct when you learn something new is to hold onto it. You invested time, maybe money. You built workflows around it. You taught it to your team. There’s real friction in saying “okay, that was the right tool six months ago, and now it’s not.”
But that friction is what slows people down. The pace of change in AI right now is faster than most people’s willingness to update their mental model.
A few things that help:
Build a refresh habit, not a learning sprint. Instead of going deep on everything all at once, spend a small amount of time each week just scanning what’s new. You don’t need to learn every tool. You need to know what’s worth learning.
Stay close to people who are actually using tools. The best signal for what’s working isn’t product launch announcements. It’s practitioners telling you what they use every day. When every heavy AI user you know has quietly switched to the same tool, that’s a signal.
Detach from specific tools, attach to outcomes. The goal isn’t to know Cursor or Lovable or any specific product. The goal is to build things, automate things, and work faster. When a better path to that outcome shows up, take it.
Seven months ago in AI is a lifetime. That’s not a complaint — it’s just the reality. And once you accept it, it actually becomes energizing. There’s always something worth learning. There’s always a faster path to what you’re trying to do.
You just have to be willing to let go of the old one.
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