Add AI adoption analysis to codebase review template#24
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ravi-shanker-1
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Jul 6, 2026
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Pull request overview
This pull request updates the comprehensive codebase review issue template to require an additional review dimension: AI adoption analysis, including standardized reporting artifacts and scoring integration.
Changes:
- Adds “AI Adoption” as a required scoring category in the template’s scoring table.
- Introduces new required deliverables under
copilot-eval/for AI adoption narrative and CSV data outputs. - Adds detailed instructions for collecting, normalizing, and reporting explicit AI-assisted commit activity over the last six months.
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This pull request updates the comprehensive codebase review issue template to introduce a new required dimension: AI adoption analysis. The changes ensure that all reviews now include a structured assessment of explicit AI-assisted commit activity over the last six months, with detailed markdown and CSV deliverables. The AI adoption analysis is now integrated into scoring, reporting, and artifact requirements, with clear instructions for data collection, normalization, and reporting.
AI Adoption Analysis Integration:
copilot-eval/.Artifact and Output Requirements:
copilot-eval/ai-adoption.md(narrative and recommendations),copilot-eval/ai-adoption.csv(commit-level data), andcopilot-eval/ai-adoption-by-developer.csv(developer aggregation) [1] [2].Detailed Guidance for AI Adoption Report:
These changes ensure that AI adoption is systematically evaluated and reported in all comprehensive codebase reviews, with standardized artifacts and scoring.