Adopt new tools before they're practical. Scout emerging tech in no-code, low-code, and AI by listening to peers, saving references, and testing alternatives. Tomorrow brings another breakthrough, so stay ahead by learning what others are experimenting with today.
One of the best ways to advance, I find, on the technical side of no-code, low-code is to be a premature adopter. It is to go around looking for things that seem pretty impractical today so that you can be expanding your mind. I have been introduced to a number of AI tools this way. I listen to other people who are working with something I've never used that before. And when I'm sitting on like a meetup or something, I will go look it up on my phone. I will save a reference to it. And I will go look up more about it a little bit later. Not a whole lot of time, but a bit of time. I go shopping. What are these things that are possible that are maybe a bit different than what I thought was the case? Like an alternative to the tool that I'm using today. What's actually different about it? Where do they actually excel? Was somebody who's doing something I didn't actually think was possible. I recently looked into an AI music service that's just really remarkable. And, but then there'll be something else tomorrow. When you, I would encourage you, go out into the market, listen to what people are working on, what they are experimenting with, and then go look it up and learn something. Be a premature adopter.
