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New GitHub Copilot Research Finds 'Downward Pressure on Code Quality'
(visualstudiomagazine.com)
this post was submitted on 27 Jan 2024
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Programming
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So I guess previously people might first look inside their repo's for examples of code they want to make, if they find and example they might import it instead of copy and pasting.
When using LLM generated code they (and the LLM) won't be checking their repo for existing code so it ends up being a copy pasta soup.
Makes sense, even if it’s not good practice.
It is really useful for hobby projects! I needed a recursive function to find a path between two nodes in a graph and it wrote me something that worked with my data in a few seconds, saved a bit of time
For now.
?
Best practices exist to save you time and nerves in debugging.
Meh, I knew that my graph would never have loops and would only ever have one path from A to B, so it did it well enough. Pretty easy to test!
Good practices don’t matter much for small hobby projects.
Training bad habits... vs. fun, i get it.
I find that code way too fun to write to let someone or something else do it for me 😂
Actual time spent micromanaging the AI until it produces the perfect code may or may not exceed writing the code yourself.
That’s fair, and if I were getting paid for it I’d do the same! But it’s for a project that’s essentially a pomodoro timer 😆 so it’s harder to justify the time