AFAIK, GH issues still does not have a notion of priority/severity? It's
usually all custom per project and label-based, some projects create a
severity/p1, severity/p2 labels, etc. (?)

Should we consider having some kind of standard across plugins for this?

I know that some folks like Mark are used to checking the newly reported
issues on Jenkins' Jira tracker across the board.

Is
https://github.com/search?q=user%3Ajenkinsci++&type=issues&ref=advsearch&state=open
the best entrypoint we can have for this?

Le mar. 4 nov. 2025 à 11:09, Oleg Nenashev <[email protected]> a
écrit :

> +1 for GitHub issues from me, at least as a second way of reporting for
> end users.
>
> On Tuesday, November 4, 2025 at 10:19:18 AM UTC+1 [email protected]
> wrote:
>
>> I'd support this - I think it'd really help visibility/keeping everything
>> in one spot is nice.
>>
>> On Monday, 3 November 2025 at 22:26:17 UTC [email protected] wrote:
>>
>>> Hi,
>>>
>>> I would like to revisit this 3 years later.
>>>
>>> There are features now available that overcome many of the issues people
>>> had at the time:
>>>
>>>    - Issue dependencies
>>>    
>>> <https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/creating-issue-dependencies>
>>>    - Sub-issues
>>>    
>>> <https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/adding-sub-issues>
>>>
>>> Other new features:
>>>
>>>    - Issue types
>>>    
>>> <https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/managing-issue-types-in-an-organization>
>>>    - Marking as a duplicate
>>>    
>>> <https://docs.github.com/en/issues/tracking-your-work-with-issues/administering-issues/duplicating-an-issue>
>>>    - Closing an issue as not planned
>>>    
>>> <https://docs.github.com/en/issues/tracking-your-work-with-issues/administering-issues/closing-an-issue>
>>>    - Duplicating an issue
>>>    
>>> <https://docs.github.com/en/issues/tracking-your-work-with-issues/administering-issues/duplicating-an-issue>
>>>    - Triaging an issue with AI
>>>    
>>> <https://docs.github.com/en/issues/tracking-your-work-with-issues/administering-issues/triaging-an-issue-with-ai>
>>>  (not
>>>    tested)
>>>
>>> 595* plugins are using GitHub issues, + most development tools like
>>> plugin-pom, ATH etc
>>>
>>> ~80% of new plugin hosting requests use GitHub issues for tracking.
>>>
>>> Other large organisations have done this sort of migration:
>>>
>>>    - Apache Maven
>>>    
>>> <https://open-elements.com/posts/2025/08/08/jira-issue-to-github-issue-migration-in-apache-maven/>
>>>    - Spring
>>>    
>>> <https://spring.io/blog/2019/01/15/spring-framework-s-migration-from-jira-to-github-issues>
>>>    - Swift
>>>    
>>> <https://forums.swift.org/t/swift-bugs-are-moving-to-github-issues-and-we-need-your-help/56125>
>>>
>>> Thoughts? - I'm happy to update the JEP and re-run the mock migration.
>>>
>>> Thanks
>>> Tim
>>>
>>> query*:
>>> repository-permissions-updater/permissions [🌱 master][⏱ 2s]
>>> ❯ rg --no-heading -i 'github: \*gh' | wc -l
>>>      595
>>> On Wednesday, 6 July 2022 at 16:55:54 UTC+1 [email protected] wrote:
>>>
>>>> On Wed, Jul 6, 2022 at 12:33 AM Damien Duportal
>>>> <[email protected]> wrote:
>>>> > Reporting issues with due diligence is absolutely not related to
>>>> GitHub or JIRA.
>>>>
>>>> It is not, but the difficulty and amount of effort required to write
>>>> clear steps to reproduce, expected results, and actual results far
>>>> exceeds the difficulty and amount of effort required to sign up for
>>>> either a GitHub account or a Jira account. The latter can be done in a
>>>> few minutes after Googling for the instructions, while the former
>>>> often takes me an hour or more and requires original analytical
>>>> reasoning. In other words, the limiting factor (bottleneck) for
>>>> effective participation is not which issue tracking system is being
>>>> used but rather writing a good issue report. That is why I find the
>>>> "barrier to entry" argument weak: it lowers the barrier to entry in an
>>>> area that is not the limiting factor, much like optimizing the
>>>> performance of a rarely used method in an application does little to
>>>> help the overall performance of the same application.
>>>>
>>> --
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