Modern engineering teams are producing AI-generated code at record speeds, but existing observability tools lack the necessary context and session-based telemetry to debug these complex systems. Developers now spend significantly more time fixing nearly-correct code because current monitoring focuses on system metrics rather than the full runtime context required by AI agents.