Team Code Review Optimization Program
Three patterns for improving team CR efficiency using code2prompt:
1. Changing the focus model
- Generate variance reports:
code2prompt . --git-diff-branch "main,dev" -o review.md - Automatic attachment of author information: via
--git-log-branchAssociated Submission Records - Highlighting: highlighting in templates
+/-isodiff marker
2. Full-volume analysis model
- Generate a snapshot of the complete code:
code2prompt /repo -o snapshot.md - Work with the query template:
-t templates/code-review.hbsPredefined check items - Output a structured list of issues (security vulnerabilities, performance hotspots, etc.)
3. Automated workflows
- Integrating CI/CD: Automatically Generating Review Documentation in a Git Hook
- Linkage with Jira: insertion of task tracking numbers through templates
- Historical comparison: periodic preservation
--git-log-branch "v1.0,v2.0"analysis of the evolution of the architecture of the
Recommendations for collaboration
Create a library of team templates that uniformly contain: code specification checklists, common vulnerability patterns, performance baseline metrics, and other core elements.
This answer comes from the articlecode2prompt: converting code libraries into big-model comprehensible prompt filesThe
May not be reproduced without permission:AI productivity tools " How can code2prompt be applied to improve code review efficiency in team collaboration scenarios?
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