Coding agent observability that reviewers can verify
Blog post from Factory
Coding-agent observability changes require end-to-end review because seemingly minor instrumentation edits can disrupt dashboards, raise storage costs, expose sensitive data, or obscure failures. Effective work begins with a defined operational question, an appropriate OpenTelemetry signal such as traces, metrics, or logs, and clear requirements covering naming conventions, sampling, prohibited fields, expected queries, and verification steps. Reviewers should trace telemetry from application instrumentation through context propagation, SDKs, collectors, export, storage, and the dashboard or alert that consumes it, rather than relying only on unit tests. Stable semantic names, correct metric types and units, bounded attribute cardinality, and explicit redaction policies help preserve reliable and safe telemetry, while high-cardinality identifiers should generally remain in traces or structured logs when permitted. Changes should be tested with controlled successful and failing requests and validated in their exported form for trace relationships, metric behavior, log severity, error status, resource attributes, duplicate instrumentation, and privacy compliance; work should pause when data destinations, retention, or permitted fields are unknown.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 7 | 472 | 102 | 54 | -85% |
| OpenTelemetry | 2 | 125 | 18 | 15 | -83% |
| AI Coding Assistant | 1 | 341 | 115 | 55 | -77% |
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