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The article analyzes challenges in the OpenTelemetry project, highlighting problems with binary stability, limited maintainers, and a massive scope that impede progress and frustrate users.
A discussion on where to place guardrails to prevent AI coding agents from making unauthorized changes, exploring friction points at various stages of the deployment workflow.
Coding AI agents often make excessive changes beyond the requested scope; the author proposes a 'change budget' as a structural boundary to prevent scope creep in agent workflows.