The Challenge I Faced
When my Engineering Manager left, I inherited a critical responsibility: evaluating pull requests. This wasn't just about code review—it was about fair assessment, team motivation, and maintaining our high quality standards. But with my CTO responsibilities, I couldn't afford to spend hours manually reviewing PRs.
The traditional approach of subjective evaluations was creating friction. Developers questioned time estimations, and I needed a solution that would be both fair and efficient.
The AI Breakthrough
Everything changed when I discovered the potential of Large Language Models like Claude 3.5, GPT-4, and fine-tuned Llama 3.1. By analyzing our historical PR data, these AI models could provide objective metrics about code complexity and effort estimation with impressive accuracy.
But the real game-changer was our innovative point-sharing system. To preserve our collaborative culture, we created a mechanism where PR owners can share effort points with contributors. This simple yet powerful approach transformed how our team works together.
The Vision: Fair Compensation Through Data
With CoyoteCodeAI, I'm working towards implementing a revolutionary compensation model: 70% fixed salary for stability, complemented by up to 30% variable compensation based on objective metrics from our AI analysis.
This isn't just about numbers—it's about creating a system where effort and collaboration are fairly rewarded. The AI will help us measure not just individual contributions, but also how developers support each other, fostering a stronger team culture.
Target for variable compensation based on AI-driven metrics
Base salary ensuring team stability
Working towards increased team collaboration and motivation
Expected Benefits
This solution for PR evaluation has the potential to transform our entire team culture. We expect developers will actively seek opportunities to collaborate, knowing their contributions will be recognized and rewarded fairly.
Transparent Evaluation
The system will help everyone understand exactly how their performance is measured, leading to more focused improvement efforts.
Increased Collaboration
We believe the point-sharing system will make developers more willing to help each other, creating a more cohesive team.
Looking Forward
This AI-driven approach won't just solve our PR evaluation challenge—it will elevate our entire development process. We're building a system that will combine the precision of artificial intelligence with the human elements of collaboration and recognition. The goal? To create a more engaged, efficient, and motivated engineering team ready to tackle tomorrow's challenges.
Want to be part of this revolution?
Join our funding members program and be among the first CTOs to transform their team's performance evaluation.
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