@abhionfarcaster
AI shits itself the moment complexity increases especially when deeper use cases are involved. One actually needs knowledge of the architecture to properly guide the AI and get usable results.
If you polish its output carefully, it can reduce effort but that only works if one actually understands what theyre doing and have a grasp of software engineering concepts,patterns etc.
Also yeah getting hands dirty and learning with AI is better than going in blind and copying whatever it gives you but it’s still not as rewarding or as educational as diving in yourself, making mistakes, debugging failures, and figuring things out the hard way.
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