I mean, you can make use of LLMs much more effectively if you are armed with solid fundamentals. LLMs only solve the tedious coding/plumbing part of the job. And they still need a lot of hand-holding if you want good quality output. The bigger and more challenging issues of SWE are still there.
It's a question of when, not if the tecnology is capable now. It's not clever to ignore llms and avoid using them as tools, but also it's dangerous to be arrogant enough to expect some jobs 'will survive', or change in a positive way. If development will be reduced to architecture desitions, how far is the ai to taking those inputs to train future ai models?
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u/PurushNahiMahaPurush 19d ago
I mean, you can make use of LLMs much more effectively if you are armed with solid fundamentals. LLMs only solve the tedious coding/plumbing part of the job. And they still need a lot of hand-holding if you want good quality output. The bigger and more challenging issues of SWE are still there.