Background to the issue
Traditional code review relies on manual labor, which tends to overlook issues such as business consistency, etc. Rovo Dev Agent can significantly improve the quality of review through AI-driven.
Specific solutions
- Automated business conformance checks: Rovo analyzes the pull request and correlates it with the original requirements in Jira to ensure that the code changes are fully aligned with the business goals.
- Smart Technology Audit: Automatically detect potential technical issues based on the project technology stack and architectural specifications
- Validation of acceptance criteria: Automatically compare code changes to acceptance criteria in Jira, flagging mismatches
Implementation steps
1. Create a PR on Bitbucket or GitHub
2. Rovo will automatically initiate the review
3. View the detailed feedback provided by Rovo on the PR page
4. Focus only on flagged priority issues rather than line-by-line checking
Effectiveness evaluation
In this way the code review time for 60% can be reduced, while significantly reducing the probability of rework at a later stage.
This answer comes from the articleRovo Dev Agent: Artificial Intelligence Development Agent Tool from AtlassianThe
May not be reproduced without permission:AI productivity tools " How to improve the quality and efficiency of code review with Rovo Dev Agent?
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