Repo for an AI experiment

[ameukam]

Describe the issue

We will like to get a new GitHub repository to host the codebase for an experimental tool that aims to improve the maintainer experience using Deep Learning techniques. This tool will leverage different AI tools to automate and enhance various aspects of repository maintenance, such as issue triaging, pull request review, and possibly documentation generation.

/assign @justinsb @ameukam

[ameukam]

/sig contribex

[k8s-ci-robot]

@ameukam: The label(s) sig/contribex cannot be applied, because the repository doesn't have them.

In response to this:

/sig contribex

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[ameukam]

/sig contributor-experience

[ameukam]

cc @kubernetes/sig-contributor-experience-leads
We reached out the different leads for feedback. Hopefully we will get consensus to open file a request for repo creation.

[palnabarun]

Thinking out aloud, how about using kubernetes-sigs/maintainers for this? You wouldn't need a separate repo then. The said repo has some existing tooling to help maintainers maintain the OWNERS files.

[dims]

works @palnabarun ! (or hydrophone repo is fine as well )

[ameukam]

Thinking out aloud, how about using kubernetes-sigs/maintainers for this? You wouldn't need a separate repo then. The said repo has some existing tooling to help maintainers maintain the OWNERS files.

We're mostly looking for autonomy in terms of PR approvals and CI setup. We don't have a proper definition of success for this experiment so I don't know how complex the code base will look like in the future. An existing repo is fine but I don't want to confuse any new contributor.

[palnabarun]

kubernetes-sigs/maintainers seems to be a nice option then. Both tools (maintainers and the one you are proposing) have similar reasons to exist.

[ameukam]

SGTM. I guess we need to wait for the other TLs to chime in ?