@andrewgazelka – I’d like your take on this:
Specifically the section:
Telemetry Questions for AI Agents
Quantitative Analysis: How many linting issues were identified in the current session? What is the distribution of issue severity? Which rules are most frequently violated? Performance Metrics: Average response time for linting analysis Success rate of auto-fixes Accuracy of context-aware suggestions Learning Patterns: How effectively does the agent adapt to custom rules? What patterns emerge in rule suppressions? How does code quality evolve over multiple sessions? Integration Effectiveness: How often are agent suggestions accepted? What percentage of issues are resolved through conversation? How does the agent’s analysis compare to traditional linters?
Maybe some of these questions could reveal som tips about how your session is linting?