Writing performance reviews used to take me days. Now it takes hours.
I use AI with MCP servers to automatically gather data from Jira, GitHub, and my daily journal entries. The AI organizes everything—code contributions, completed tickets, documentation—and writes the review draft aligned with company goals.
The key? Regular journaling throughout the review period. The AI does the heavy lifting, but I always review for accuracy before submitting.
Works with Claude Code, GitHub Copilot, or any MCP-compatible AI tool. Full prompt template included in the post.
How do you handle performance review season? 📝
https://kernelofthought.xyz/2025/11/19/ai-powered-performance-reviews.html
#PerformanceReviews #AI #EngineeringManagement #ProductivityTools #MCP #DeveloperExperience #TechLeadership
Using AI to Generate Performance Reviews and Check-Ins
Writing performance reviews is tedious. You need to remember months of work, tie accomplishments to organizational goals, and present it all coherently. By review time, you’ve forgotten half the details from earlier in the period.

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