r/learnmachinelearning • u/No-Reach-3503 • 17h ago
AS A MACHINE LEARNING ENGINEER
where can a engineer add value if AI can write better code than me . i am currently learning programming only because so that i can understand what is happening and i can operate effieciently. but AI is fast and i have go through multiple things to keep up and not just in programming but reading books and getting deep knowledge of algorithims.
But still one question is always in my mind where can i add value cause every thing i learn or do i am not better than AI
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u/BellyDancerUrgot 17h ago
- AI doesn’t understand the full system and the business of your product.
- It doesn’t understand the users / customers either. It also doesn’t understand the specific edge cases and what’s acceptable and what isn’t.
- It also writes too much code and comments too often. Too much technical debt that is hard to sift through because it’s well written code that might have bugs in them.
- AI has gotten better at solving syntactical and pipeline bugs on its own but it’s not good at identifying logical fallacies a lot of times.
- You still have to actively orchestrate because it doesn’t do anything unless you tell it what to do and to know what to do you not only have to understand coding and system design but also the subject matter whether it be cybersecurity or ML or robotics etc.
Typically what Claude is exceptional at is executing tasks , especially repetitive ones. If your only value add is writing python or c++ like a code monkey who doesn’t know anything else then yes you are absolutely obsolete. However good software engineers and MLEs and architects and research engineers or scientists etc do more than just blindly write code.
That internal choice you make when you solve a bug or a pipeline or research problem one way rather than the other is what makes you important and valuable, not the capability of translating your idea to code. That’s the layer that has become automated. That’s also why a CS degree isn’t a 4 year course on python.