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.
Separate detection from response, reconstruct the missing minutes, and find the delays that an improving average can conceal.
Define production-agent authority, reconcile uncertain writes, verify outcomes independently, and use an execution contract before expanding scope.
Measure tokens per completed task, account for retries and tool output, and preserve the evidence an operational assistant needs.
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.
Connect on-call interruptions, specialist demand, and recovery work to a concrete capacity decision using an on-call workload worksheet.
Evaluate AIOps grouping by detection coverage, investigation effort, and recoverable mistakes, not alert reduction alone.
Turn reliability policy into a release decision with fresh evidence, limited exceptions, and a clear path to resuming normal changes.