On Mon, Feb 16, 2026 at 5:33 AM Peter Wang via NumPy-Discussion <
[email protected]> wrote:

> On Sun, Feb 15, 2026 at 9:35 PM sebastian <[email protected]>
> wrote:
>
>> Hey!  thanks a lot for chiming in, still watching the videos!
>>
>
> Awesome, definitely let me know if you have any questions/feedback!
>
> For the maintainer I think the "blast radius" framework could be very
>> useful and it
>> may be nice to flesh it out (I don't think there is anything NumPy
>> specific about it,
>> i.e. in my mind (1) is basically examples for the blast radius?).
>>
>
> Actually, I think this is something where the NumPy-specific bits could be
> extraordinarily helpful, and in a sense, it manifests the worldview that
> you & other maintainers have painstakingly built up over time.  There will
> be some parts that are pretty generic to all software projects, but there
> are quite a lot of subtle and intricate design choices that go into making
> Numpy what it is. These may not be obvious to a coding LLM that,
> ultimately, will regress to the mean on matters of technical design and
> architecture.
>
> Examples include:
>
> * To what degree is a performance reduction acceptable, and when is it a
> regression?
> * What kinds of hardware optimizations are acceptable, at the price of
> maintainability?
> * How important is it to insist that all tests pass for all supported
> architectures? (Ie what is the compatibility rubric?)
> * Which downstream projects or specific API surfaces are important to
> prioritize testing on, for numerical stability, accuracy, performance, etc.?
>
> I'm sure you all can come up with many more :-)
>
> I also believe that maintainers writing down your unique & specific
> individual perspectives will ultimately form the foundations of a "Numpy
> code bot" that can assist in development in the future, assuming we get a
> non-legally-problematic coding model created.
>
> -Peter
>
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