Over the past few years, the evolution of AI-driven tools like GitHub’s Copilot and other large language models (LLMs) has promised to revolutionise programming. By leveraging deep learning, these tools can generate code, suggest solutions, and even troubleshoot issues in real-time, saving developers hours of work. While these tools have obvious benefits in terms of productivity, there’s a growing concern that they may also have unintended consequences on the quality and skillset of programmers.
I browsed author own codebase and the first thing I saw is 150 lines of C# reimplementing functions available in the .NET standard lib.
Link? I’d like to see. Always amusing to see that kind of thing.
https://github.com/bizzehdee/bzTorrent/blob/master/bzTorrent/Helpers/PackHelper.cs
Which is entierely covered by https://learn.microsoft.com/en-us/dotnet/api/system.buffers.binary.binaryprimitives
Once again: https://en.wikipedia.org/wiki/Dunning–Kruger_effect