What are Mesrai Suggestions
Mesrai Suggestions measures the effectiveness of AI-powered code suggestions generated by Mesrai. This metric tracks how many suggestions are sent to developers and how many are actually implemented, providing insights into the value and adoption of AI-assisted development.
How We Calculate It
We automatically track how many AI-powered suggestions Mesrai sends to your team and how many of those suggestions are actually implemented in your code.
What We Track:
- Suggestions sent to developers
- Suggestions that get implemented
- The percentage of suggestions that are adopted
How It’s Calculated:
Implementation Rate = (Implemented Suggestions) ÷ (Total Suggestions Sent) × 100For example, if Mesrai sent 20 suggestions and 16 were implemented, your implementation rate is 80%.
Why It Matters
Mesrai Suggestions provide several benefits for your development team:
- Productivity Boost: AI can catch common issues and suggest improvements
- Code Quality: Consistent suggestions help maintain coding standards
- Learning Opportunity: Developers learn best practices through AI feedback
- Time Savings: Reduce time spent on routine code review tasks
How to Improve
- Configure custom Mesrai rules specific to your team’s standards
- Provide feedback on suggestions to improve accuracy
- Ensure Mesrai has access to relevant codebase context
- Educate developers on how to use Mesrai effectively
- Share examples of how Mesrai has helped the team
- Gather input on suggestion usefulness