Debugging

1. The “Black Box” Problem & The Incompetence of Traditional APM In traditional software systems (Web/App), you can use APM (Application Performance Monitoring) tools like Datadog or New Relic for monitoring. If the system returns an HTTP 200 OK code, you know everything is working fine. If it returns HTTP 500, you open the Log to see which line of code failed. But with AI Agents, this logic completely collapses. An Agentic system can swiftly return an HTTP 200 OK, without throwing any Exceptions, yet the returned content could be flawed financial advice (Hallucination) that costs the company millions of dollars. ...

Answer-first: Goroutine leaks block indefinitely and hold GC roots, leading to slow, silent memory exhaustion and pod restarts. Pinpoint leaks by comparing pprof profile snapshots (specifically goroutineleak in Go 1.26), write deterministic tests with Go 1.24’s synctest, and set automated telemetry alerts on active goroutine counts. What You’ll Learn That AI Won’t Tell You Writing automated test cases that detect goroutine leaks before deploying. Analyzing production runtime stack traces to locate orphaned channels. A Kubernetes pod abruptly restarts with exit code 137. The memory metrics dashboard shows a slow, perfectly linear staircase pattern stretching over three days. There are no panic logs in stdout, no database errors, and no abnormal CPU spikes. Just a slow, silent OOM (Out Of Memory) death. ...