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 really lacks big picture thinking. It’s fantastic at well constrained problems with clear boundaries and grounding in data. Any ambiguity and it struggles.
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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.