489
AI Models from Google, OpenAI, Anthropic Solve 0% of ‘Hard’ Coding Problems (analyticsindiamag.com)
submitted 1 year ago by to c/programming@programming.dev
82 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] 14 points 1 year ago (4 children)

Never have I had to implement any kind of ridiculous algorithm to pass tests with huge amounts of data in the least amount of memory, as the competitive websites show.

It has been mostly about:

  • Finding the correct library for a job and understanding it well, to prevent footguns and blocking future features
  • Design patterns for better build times
  • Making sane UI options and deciding resource alloc/dealloc points that would match user interaction expectations
  • cmake

But then again, I haven't worked in FinTech or Big Data companies, neither have I made an SQL server.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 4 child comments
    •
  • [–] 2 points 1 year ago (1 child)

    Pretty sure that autocomplete would be terrible at these tasks too.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 1 child comment
    •
  • [–] 2 points 1 year ago

    There are some times when I wish I were better at regexp and scripting.
    Times when I am writing a similar kind of thing again and again, which is just different enough (and small enough number of repetitions) that it doesn't seem viable to make the script.

    At those times, I tend to think - maybe Cursor would have done this part well - but have no real idea since I have never used it.

    On the other hand, if I had a scripting endpoint from clang, ^[which would have taggified parts of code (in the same tone as "parts of speech") like functions declaration, return type, function name, type qualifier etc.], I would have used that to make a batch processor for even a repetition as small as 10 and wouldn't have thought once about AI.

  • permalink
  • fedilink
  • source
  • parent