The video explains how developers can inspect, visualize, and troubleshoot execution context in modern applications. It starts by describing why context—such as request metadata, user session data, and correlation identifiers—is critical for tracing behavior across services. The presenter walks through built‑in IDE features like variable watch windows, call‑stack explorers, and live debugging sessions that expose context objects in real time. Next, third‑party tools are covered: distributed tracing platforms (e.g., Jaeger, Zipkin) that render context propagation across microservices, and observability suites (e.g., OpenTelemetry, Datadog) that capture and display context tags alongside logs and metrics. The video demonstrates how to instrument code with context‑aware loggers, inject correlation IDs, and configure dashboards to filter by those IDs. Finally, best‑practice recommendations are given: keep context immutable, limit its size, and always propagate it through async boundaries to ensure accurate debugging and performance analysis.