My first reaction is that an RNN-based code generator trained on a
particular dataset (e.g. Plan 9 sources) might be more fruitful.

On Mon, Feb 22, 2021 at 3:08 PM William Linkmeyer <wlin...@gmail.com> wrote:

> Dearest Nines,
>
> I’ve been reading these email chains for about three years now. You’ve all
> taught me quite a bit. I understand that this will be a bit off-topic as
> it’s not directly related to Plan9. So be it. I wanted to start a chain and
> chime in on something that I do have experience with.
> I’ve been developing a code suggestion platform. The concept is simple
> relatively simple. As the programmer is typing, patterns in the given code
> block are identified and compared to a database of tagged code snippets.
> The code snippet that is most relevant will be presented to the programmer
> as a suggestion.
> The code snippets all come originally from Stack Overflow, GitHub, and my
> own programs. I’m in the process of tagging these snippets for important
> features such as purpose, list of operations, any applicable design
> patterns, paradigms, etc. The more “essential” features are being tagged as
> well — features such as the number of arguments, return type, etc.
> It’s an interesting project to me. While I think that it’s going well, I’m
> certain that the large-brain folk here have important commentary on it.
>
> With Peace,
> Will
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