LLMs are becoming a crutch for junior devs

1. The "10x developer" hype cycle is reaching a fever pitch. Everyone's acting like Copilot and ChatGPT killed Stack Overflow overnight, and if you aren't piping every single line of code through an LLM, you're somehow inefficient. It’s exhausting.

2. There is a massive difference between using AI for boilerplate and using it as a brain replacement. I see people generating entire components without a clue how the underlying logic actually functions. They get the output, but they miss the mental model.

3. Debugging is where the actual engineering happens. I'll still spend hours in a debugger hunting down a logic error because that's how you actually learn the system. You don't get that hit of dopamine or the deep architectural understanding when you just copy-paste a prompt-generated snippet.

4. We are seeing a shift toward "prompt engineering" as a substitute for fundamental problem-solving. Frameworks shift every few months, but the ability to dig into a system and understand the core logic is what actually keeps you employed.

5. Don't let the tools make you soft. If the internet goes down or the API latency spikes, a dev who relies solely on LLM-generated code is going to be completely lost. You need that grit to actually solve problems, not just ship files.