Write a guide or custom page covering how to evaluate whether an AI tool (e.g., GitHub Copilot, AI code review) is performing well. Topics could include:
- Metrics to track (acceptance rate, time saved, code quality).
- Qualitative indicators (developer satisfaction, learning curve).
- A/B testing approaches.
- Common pitfalls and false signals.
- Link to existing content about AI evaluation if available.
Write a guide or custom page covering how to evaluate whether an AI tool (e.g., GitHub Copilot, AI code review) is performing well. Topics could include: