Can SonarCloud Leverage AI to Predict Future Issues and Provide Proactive Code Insights?

SonarCloud identifies code smells, bugs, and security issues using rule-based static analysis. Is there any plan or possibility for SonarCloud to evolve toward AI-driven analysis?

For example:

  1. Analyze code patterns to detect frequent issues across projects ?
  2. Use existing code smells to predict potential future bugs or architectural issues?
  3. Provide intelligent suggestions or good to have improvements during each new code analysis - not just what’s wrong, but what could be better?

Is this something on the roadmap or even technically feasible within the scope of SonarCloud’s current model?

Thanks in advance!