The biggest misconception about AI: thinking it can do things you can't do yourself.
This hits hard for devs building with LLMs. You can't just throw a vague prompt at GPT-4 and expect it to architect your entire system. If you don't understand the problem domain deeply enough to break it down yourself, the AI won't magically solve it for you.
Same applies to code generation - if you can't review and debug the output, you're just shipping unknown bugs faster. AI amplifies your existing skills, it doesn't replace the foundational knowledge.
The real power comes from pairing domain expertise with AI tooling. Know what you're building, use AI to accelerate the execution.
This hits hard for devs building with LLMs. You can't just throw a vague prompt at GPT-4 and expect it to architect your entire system. If you don't understand the problem domain deeply enough to break it down yourself, the AI won't magically solve it for you.
Same applies to code generation - if you can't review and debug the output, you're just shipping unknown bugs faster. AI amplifies your existing skills, it doesn't replace the foundational knowledge.
The real power comes from pairing domain expertise with AI tooling. Know what you're building, use AI to accelerate the execution.