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AI agent swarm built for hackathon revealed flawed assumptions through its own telemetry

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A team built DevSwarm, a multi-agent AI system that converts a single prompt into a full-stack application, as an entry for the WeMakeDevs Agents of SigNoz hackathon in July 2026. The swarm uses five open-weight models across roles including planning, frontend, backend, code review, and routing repair, with every step logged as an OpenTelemetry span in SigNoz. Rather than confirming the system worked as expected, a week of observability data exposed six major misconceptions the team held about their own architecture. Errors blamed on models turned out to be self-imposed limits, the assumed strongest agent was measurably the weakest, and a design system they spent days building was actively degrading output quality. Every one of these findings came from span events and dashboard metrics, not from re-reading the source code.

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AI agent swarm built for hackathon revealed flawed assumptions through its own telemetry · ShortSingh