Quality and performance improvements¶

Problem¶

Post-v1.0 user feedback and telemetry will surface specific quality and performance pain points: diagnostics that are too slow to feel real-time, preview rendering that lags on complex dashboards, memory usage that grows unbounded during long editing sessions, or diagnostic accuracy gaps where valid YAML is flagged as invalid (or vice versa). These issues erode the perception of quality even when core functionality works. Without tying improvement work to measurable user-facing outcomes — diagnostic latency p95, preview render time, false-positive rate, crash-free session rate — the team risks optimizing things that don't matter while ignoring what users actually feel.

Quality and performance improvements¶

Problem¶

Context¶

Possible Solutions¶

Plan¶

Implementation Progress¶

Review Feedback¶