Software Engineering, Python, Apis, Performance Tuning, correlation IDs, failure recovery, Clients, versioning, Agentic AI patterns, latency, planning execution loops, regression suites, labels, metrics selection, integration engineering, evaluation discipline, observability, auth concepts, CI-friendly code, tool function calling, MCP servers, offline eval, debugging production issues, Packaging, tests, schema-driven tool integration, clean architecture, error instrumentation, structured logging, golden sets, experiment reporting, prompt system instruction design