OReilly author warns AI multi-agent workflows lack tracing

The author argues that multi-agent AI systems are repeating the architectural and operational mistakes of early microservices by scattering workflows across isolated agents without adequate tracing, versioning, or visibility. Multi-agent failures often happen quietly and fluently as upstream components drop or alter data, making compound errors difficult to diagnose. To prevent these visibility and cost overruns, the author recommends implementing service registries, OpenTelemetry tracing, behavioral contract testing, and strict policy enforcement layers. Open article →