It was 2:00 AM, our team’s autonomous multi-agent pipeline kept crashing into an infinite loop, and I was about ready to throw my laptop out the window.

We were building an AI research agent for an upcoming hackathon, and everything was working until our custom tool call started throwing a silent error. The agent would receive a malformed response from an API, panic silently, and lock up our entire script. Worse, our terminal output gave us nothing useful—just a messy wall of unhelpful stack traces.

Someone in our team chat suggested we install an enterprise APM monitoring tool or set up complex telemetry collectors to trace the execution steps. But looking at the documentation—requiring cloud dashboard accounts, environment variables, API tokens, and heavy third-party dependencies—felt like bringing a bulldozer to fix a broken door lock. We didn't have time to configure enterprise infrastructure.…