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docs: Add missing documentation for required tests and branch protection #522
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Hi @Copilot. Thanks for your PR. I'm waiting for a kubernetes-sigs member to verify that this patch is reasonable to test. If it is, they should reply with Once the patch is verified, the new status will be reflected by the I understand the commands that are listed here. 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. |
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Co-authored-by: petr-muller <[email protected]>
[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: Copilot The full list of commands accepted by this bot can be found here.
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[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: Copilot The full list of commands accepted by this bot can be found here.
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
Problem
The architecture documentation was missing an explanation of what controls the "Required" tests that appear in GitHub PRs. Users were confused about:
/test
This gap was highlighted in issue #XXXXX where a user specifically asked: "Looking at the architecture document, I do not understand what controls the contents of this block in a PR on GitHub. What adds required tests? Those do not come from ProwJobs, right?"
Solution
Added a new "Required Tests and Branch Protection" section to the architecture documentation that explains:
always_run: true
Prow jobs and required status checks/test
Also added a cross-reference from the branchprotector documentation back to the architecture overview to help users understand the bigger picture.
Key clarifications provided
branch-protection
configurationalways_run: true
Prow jobsThis addresses the documentation gap identified by maintainers and provides the missing context that users need to understand Prow's integration with GitHub branch protection.
Original prompt
💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.