LLMs Are Eroding My Software Engineering Career? Don't Panic Yet

Another dose of drama from an engineer who discovered that ChatGPT writes code faster than he does. The author honestly admits: "I feel like my career is crumbling like cookies in milk." But let's break down what's actually happening.

Yes, LLMs can generate boilerplate and even find bugs. But they still mess up business logic and produce "solutions" that only work in the perfect world of unit tests. Remember when an AI suggested using eval() to parse JSON? Exactly.

What's really changing?

The developer's role is shifting from writing code to reviewing and integrating it. It's like moving from being a cook to a head chef: you no longer chop onions, but you're responsible for the dish's taste. And yes, you'll need to learn new skills: prompt engineering, evaluating LLM output quality, architecting with AI agents.

The author's main advice — don't fixate on code as your only value. Soft skills, business understanding, asking the right questions — these will stay with you when GPT-10 writes microservices faster than you drink your morning coffee. And if you're really scared — try building your own code-generating LLM. Ironic, isn't it?

METABYTE studio comment: Yes, AI is changing the industry, but for now it's your assistant, not replacement. We also use LLMs to speed up development, but the final call is always human. Though if your code is written by AI and you just commit — maybe it's time to update your CV? 😉