Herdr: how to supervise coding agents
Herdr keeps coding agents visible and their terminals persistent. Here is how to evaluate its status signals, recovery behavior, and place in SRE work.
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Herdr keeps coding agents visible and their terminals persistent. Here is how to evaluate its status signals, recovery behavior, and place in SRE work.
Define production-agent authority, reconcile uncertain writes, verify outcomes independently, and use an execution contract before expanding scope.
Understand instrumentation, context propagation, and the Collector, and why consistent telemetry still needs careful signal design.
A practical ownership model for shared platforms, service reliability, incident command, and the work that falls between teams.
Separate delivered postmortem actions from demonstrated risk reduction, close only tested scope, and record residual exposure with a treatment worksheet.
Measure tokens per completed task, account for retries and tool output, and preserve the evidence an operational assistant needs.
Follow evidence through technical failure and incident response, then test whether the proposed correction changes the mechanism.
Use a curated notebook to compare runbooks and incident evidence, while keeping citations, freshness, and operational authority in view.
When inference slows without obvious application errors, test physical constraints alongside queueing, workload changes, and software regressions.
Test evidence retrieval, long-session consistency, tool boundaries, and cost before letting a model influence production changes.
Define inputs, permissions, idempotency, verification, and stop conditions for one operational capability before expanding its authority.
Decide which workflow deserves an agent, where a fixed automation is sufficient, and how to measure the work left for responders.