February 2026 monthly summary for launchdarkly/go-server-sdk focusing on AI Config evaluations with judge mode and related metrics enhancements. Delivered a new AI Config evaluation pathway in judge mode, with updated config models and metrics tracking, enabling more precise evaluation results and observability. Implemented cross-SDK alignment by mirroring successful patterns from Python/Node implementations and validated against supported platform versions. Completed local app validation to ensure end-to-end flow works with existing evaluation dashboards. The work lays groundwork for richer evaluation metrics and improved decisioning in feature rollouts.

January 2026 performance highlights for launchdarkly/js-core: Delivered the Unified AI Judge Evaluation System, introducing a single evaluation metric key that enhances configurability while preserving backward compatibility with legacy flows. This release encompasses API, configuration utilities, and schema handling updates to ensure robustness across scenarios, supported by extensive test coverage and cross-version validation. Result: easier experimentation with AI judge configurations, reduced configuration complexity, and a foundation for future enhancements.

July 2025: Delivered cross-repo AI tracking enhancements across Go, .NET, and JS SDKs, delivering richer analytics and improved observability for AI features. Implemented model and provider context in metrics and configuration tracking, enabling precise attribution and usage insights. Updated tests in JS core to validate the enhancements. The work improves business decisions through better analytics, reduces ambiguity in AI events, and sets a foundation for future AI feature instrumentation.