Atlassian: How to Set Custom Coding Standards for AI Pull Request Reviews in Jira

Coding standards in Jira let you define the exact rules your AI reviewer follows when checking pull requests across your repositories. In this video, you'll see how to create a coding standard, apply it to repositories, and test it against a real pull request. It's useful for admins who want consistent, organization-specific AI code reviews.

IN THIS VIDEO:

- Create a coding standard with custom rules for AI pull request reviews

- Apply the standard to specific repositories or your entire workspace

- Test the standard and see violations flagged in a pull request

- Track review usage and credit spend on the reviewer page

CHAPTERS:

00:00 How do you control how AI reviews your pull requests?
00:09 How do you create and configure a coding standard?
00:31 How do you apply a coding standard to repositories?
01:16 How do you test a coding standard against a pull request?
02:08 How do you edit a coding standard and track AI reviewer usage?

RELATED RESOURCES:

🔗 Learn more about Jira: https://www.atlassian.com/software/jira
🔗 Jira for AI-native development: https://www.atlassian.com/software/jira/dev
🔗 How Jira is evolving for AI-native teams: https://www.atlassian.com/blog/company-news/ai-sdlc

#JiraAI #CodeReview #AIAgents

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