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Repo for an AI experiment #8297
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/sig contribex |
@ameukam: The label(s) In response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. |
/sig contributor-experience |
cc @kubernetes/sig-contributor-experience-leads |
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. |
works @palnabarun ! (or hydrophone repo is fine as well ) |
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. |
kubernetes-sigs/maintainers seems to be a nice option then. Both tools (maintainers and the one you are proposing) have similar reasons to exist. |
SGTM. I guess we need to wait for the other TLs to chime in ? |
Hello folks (sorry I was out last week, just catching up & continuing the discussions from Jan, 2025 ContribEx meetings.) Not blocking on the request for using
Also some umbrella questions regarding the scope of AI experiments within the repo:
Can we define the "out of scope" items for the moment? (further, following up from the contribex meetings notes) |
@Priyankasaggu11929 This is out of scope for the Infra SIG. so we don't currently have any conversation regarding this within the SIG. |
There was a discussion about this in the Meeting of SIG k8s infra. I would like to align if this is already a good place to be and if SIG Testing want to be the host or if we want to open up a new central place under SIG ContribEx |
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
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