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More text update on owners. (#12)
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community/language-change-process.md

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@@ -19,12 +19,12 @@ Announce your intent to implement the feature in the [Announcement Channel in Gi
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## Iterate on design and implementation
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The OWNERs of docs/proposals (aka the “language OWNERs”) may weigh in on feature proposal issues to give guidance on what they expect will or will not be accepted as changes to the language.
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The Owners of docs/proposals (aka the “language OWNERs”) may weigh in on feature proposal issues to give guidance on what they expect will or will not be accepted as changes to the language.
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If it is clear to the language OWNERs that a proposed feature will not be accepted, they may close out the issue with an explanation of the reasoning.
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If it is clear to the language Owners that a proposed feature will not be accepted, they may close out the issue with an explanation of the reasoning.
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Ideally, you should wait to get positive feedback from at least one language OWNER before moving forward with implementation, to avoid the possibility of wasted effort.
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Assuming positive community support for your proposal, move your tracking issue's status to "experimental" and begin putting up PRs for reviews by relevant code OWNERs.
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Assuming positive community support for your proposal, move your tracking issue's status to "experimental" and begin putting up PRs for reviews by relevant code Owners.
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During the implementation period, you are expected to:
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We encourage sending the intention to stabilize well in advance of wanting to actually have it ship stably — the more time, the more community feedback and ‘banging on the tires’ you can create.
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At decision time, the owners listed in `docs/proposals/OWNERS.txt` will discuss privately (using OWNERs consensus) and share their decision on the email thread. After this, the relevant PRs can land as normal and the feature is stable.
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At decision time, the Owners listed in `.github/CODEOWNERS` will discuss privately (using Owners consensus) and share their decision on the email thread. After this, the relevant PRs can land as normal and the feature is stable.
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We expect that between 3-7 days will be given for community feedback in typical cases. Some lived experience is needed before we can make a policy about how long review periods need to last.
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