Ask HN: Will I get left behind if I don't jump on AI train?
9 LLcolD 12 7/27/2025, 12:05:06 PM
I can’t decide if it is hype, FOMO, or what ever would I call it. I see all of the AI talk, I hear about new tools coming out daily, I read about startups pivoting only to include AI (otherwise there is no money for them)… And now I fear that if I don’t try out or even start using AI tools that I’ll get overrun.
Do I even need to know what is MCP? Do I need to have agents to do some tasks on my behalf? Do I need to start creating apps and sites using Vibe coding (I’m not a developer)?
So if you want to work and adopt AI, make your own workflows. Interact directly with ChatGPT or even the API as opposed to learning cursor shortcuts or Lovable prompts.
I use AI very frequently and I love to spell out my thinking and even have AI critique it. Once done, I generate code in phases to save typing. I dont think anything will replace software engineers but engineers with more knowledge will replace those with less. You have to snatch that knowledge. Moronic VCs and tool vendors wont help, direct involvement will.
You should try to understand what it is useful for and what it isn't. You don't need to vibe code at all; in fact, it's the exact opposite. You should read the code and be able to figure out what LLMs are bad at and how they make inhuman mistakes.
I personally like the prompt completion of functions. The act of manually writing out in detail what needs to happen and how help me think about what I want to have done.
Anyway, the main argument I have that you should be using it is that the first and experience of using it will teach you about what to look for in broken LLM code and also help you guide others into producing less broken LLM code.
Read real books. Talk to real people. Do real things.
You can catch up when everyone else actually gets somewhere, and have spent the whole meanwhile on self exploration.
For the first part, consider this the Smart Phone of this age. You will need to know and understand how to prompt the AI. You will need to be comfortable with it. If not expect to be asking your children to help you do it as they will grow up with it and be very familiar.
Download ollama and mess with a model locally, implement your own RAG system so you get a feel for what that entails and what good and bad use cases look like. I use LLMs every day for random stuff, but not really because I need the output, more because I need to know and understand where it's strengths and weaknesses are.
You're not trying to become an overnight expert here. Nobody expects that. But there's this gap right now between what stakeholders think AI can do (basically everything) and what it actually can do. And guess who needs to bridge that gap?
As a software engineer part of your responsibility is to advise non-software engineers on what is just now possible with technology, because when a stakeholder comes to you with some wacky idea, you need to be able to judge it and decide on the investment of time the idea might require, or if it's even possible today/now.
That's pretty much a complete waste of time as the op is not a developer.
The op's talking about using AI in their normal work workflows.
Ollama locally is very slow (or low quality). I feel a good middle ground is renting GPU or TPU per minute and running a local model there.
It's a good approximation to say that all tools are thin wrappers on top of the models, and having a good grasp of what the models can/can't do right now gets you 80% of the way there.
But I don't think you need to stress, there is a lot of hype and there will be time to learn how to use the winners later.
Whatever your job is will dictate if, or how much, you may care. How things shake out at the end of the day will likely look much different than they do right now.
If you’re not someone who likes to try and ride hype waves with various get rich quick schemes, and not in the space, I wouldn’t worry about it. Sit back with your popcorn and watch these people fight for a few years and let the bubble pop. Then we’ll see who is left and what it’s actually good for. You can then adjust from there if needed.