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0000-00-00-introducing-o11y-bench-an-open-benchmark-for-ai-agents
ANo problem foundapi-evangelist/grafana-tempo
Evaluating agents is hard. Verifying observability tasks is harder.Yes, AI agents have gotten dramatically and quantifiably better at coding and tool use, but observability presents a different kind of challenge. In a real incident, the hard part is rarely just writing a query. It's deciding which signal matters, figuring out whether a spike is noise or symptom, correlating metrics with logs and traces, and sometimes making a change in Grafana without breaking the dashboard another engineer dep…
0000-00-00-introducing-o11y-bench-an-open-benchmark-for-ai-agents got grade A on our automated scan on 2026-10-22.
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Run all code generation (protobuf, sqlc, frontend build)
name: ship description: Release protocol: pre-flight checks, changelog, semantic version, tag, deploy. disable-model-invocation: true
name: init description: Bootstrap the .resonance/ project memory (soul, state, docs scaffold). Run once per new project. disable-model-invocation: true
name: goal description: The autonomous goal loop: frame, decompose, then build and verify each slice against real checks, bounded, never auto-ship. disable-model-invocation: true