AI Code Monitor Beta V3.2: Delete Groups, Display Traffic lights order, Sneak peak into CodeReview​
Here's the latest video release notes: https://youtu.be/R_551gdBiXc
In the current release, we have implemented the following items.
1. Delete Repository group & Developer group
1.1) As a user I have the option to delete a Repository group
When I am on Settings > Repository Groups, I can see the 'Delete' option next to the repository group
1.2) As a user I have the option to delete a Developer group
When I am on Settings > Developer Groups, I can see the 'Delete' option next to the developer group
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2. Display rule capsules in specific order on the Dashboard
2.1) As a user I see the rules capsules in a specific sort order under Repository groups on the Dashboard
When I am on Dashboard, I can see the Rule capsules with traffic lights in a specific sort order starting with Any GenAI, Pure GenAI, Blended GenAI
2.2) As a user I see the traffic rules capsules in a specific sort order under Developer groups on the Dashboard
When I am on Dashboard, I can see the Rule capsules with traffic lights in a specific sort order starting with Any GenAI, Pure GenAI, Blended GenAI
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3. A sneak peek into the GenAI usage scan at Code Review level, more to come next week
Developer using the GitHub can view the GenAI usage at the code review level when a Pull Request happens. We are working on this functionality and we will share a final version in the next week's release notes. The 'work-in-progress' user journey is as follows:
3.1) The developer sees a Pull Request
3.2) When they view the Pull Request, along with other checks, they can see a 'Sema GenAI Detector' check as well
3.3) Upon clicking on 'Details', they will see more information pertaining to the Pull Request w.r.t. GenAI usage
3.4) Upon clicking 'More Details', they will be taken to the AI Code Monitor tool to view code-level details and labels on GenAI usage on the 'Pull request scan' page.
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4. Under the hood we have made improvements in accuracy based on customer feedback and more varied human data.