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OllyGarden describes using AI coding agents to help teams add and review OpenTelemetry instrumentation, then scan a wider codebase for missing or excessive telemetry. The approach can make implementation work easier, but it does not make instrumentation automatic in the meaningful sense: teams still need to supply business context, keep signals useful, and review proposed code.
What instrumentation gaps is the agent meant to find?
OpenTelemetry auto-instrumentation can provide a useful baseline by capturing common technical events. It may not, however, explain the business context behind them—for example, which customer, plan, or feature flag was involved. That context can matter when a team is investigating why a particular user or workflow was affected.
Adding business-relevant signals manually takes engineering judgment. Developers must decide what is worth measuring, follow conventions across services, propagate context correctly, and maintain the instrumentation over time. OllyGarden’s argument is that coding agents can reduce the effort of implementing this work; they cannot decide what matters to a business without guidance.
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1. Add instrumentation during local development
A developer can ask a coding agent to help instrument an application while supplying knowledge of its behavior and the business questions the telemetry should answer. OllyGarden and Bronto summarize the coding-agent premise this way: “For an AI agent, there is little difference between adding a new feature to a codebase and instrumenting an application with OpenTelemetry.” That is the authors’ observation, not evidence that agents produce correct instrumentation without oversight. OllyGarden and Bronto’s September 28, 2026 article
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2. Give agents OpenTelemetry guidance
OllyGarden publishes 23 OpenTelemetry agent skills: 18 vendor-neutral fact skills that point to upstream documentation and five skills expressing OllyGarden’s preferred practices. The stated goal is to help agents use current conventions and libraries instead of relying only on knowledge learned during model training. OllyGarden’s Agent Skills page
These skills can guide how an agent implements instrumentation, but they do not replace application-specific context. A technically valid span or attribute can still be unhelpful if it does not answer a real operational question.
3. Review instrumentation changes in pull requests
A focused pull-request review can flag missing or excessive instrumentation in the code being changed before it is merged. Its view is limited: a diff may not reveal every effect across the wider codebase or service boundaries.
4. Scan the broader codebase continuously
OllyGarden describes a background agent that looks across a repository for gaps and over-instrumentation that individual pull-request checks may miss. The article presents autonomous pull requests as a possible next step, not as proof that every issue can be fixed safely without review. OllyGarden recommends human review because an agent may add too much telemetry or apply inconsistent conventions. The article’s workflow and qualifications
Why more telemetry is not always better
Instrumentation quality involves both coverage and restraint. Missing signals can leave teams without enough context to diagnose a problem; low-value or noisy signals can make useful information harder to find. Telemetry also needs attention to sensitive-data exposure and clear ownership.
OllyGarden’s Insights documentation describes a per-service Instrumentation Score from 0 to 100, alongside prioritized findings. Its listed issue areas include sensitive-data leakage, noisy or bloated signals, incomplete instrumentation, and telemetry without clear ownership. The score is OllyGarden’s measure of instrumentation quality, not an independently established guarantee that a service is observable. OllyGarden Insights documentation OllyGarden introduced the score in 2025 as an assessment of OTLP data against rules based on OpenTelemetry practices and semantic conventions. Introducing the Instrumentation Score, June 11, 2025
How Rose, Agent Skills, and Insights differ
| Offering | Role described by OllyGarden | Availability detail stated on the cited page |
|---|---|---|
| Rose | Reviews code for missing telemetry, low-value instrumentation, and inconsistency, then presents recommendations or pull requests. | The product page describes connecting a GitHub repository. CLI and coding-agent use are labeled “Coming soon.” Rose product page |
| Agent Skills | Public packages that guide coding agents on OpenTelemetry facts and OllyGarden’s preferred practices. | The page lists 23 skills: 18 vendor-neutral fact skills and five OllyGarden opinion skills. Agent Skills page |
| Insights | Analyzes a sample of telemetry from an existing pipeline and reports findings, including an Instrumentation Score. | Documentation says telemetry continues to flow to existing backends. Insights documentation |
| Tulip and Olive | The product overview describes Tulip as a commercially supported OpenTelemetry Collector and Olive as API access. | Specific availability details are not stated in the cited overview. Product overview |
What teams should take away
- Use auto-instrumentation as a baseline, not as a substitute for business-specific context.
- Give agents current OpenTelemetry guidance and clear direction about the operational questions the telemetry should answer.
- Use pull-request review for change-level omissions and broader repository analysis for issues outside a single diff.
- Review for both missing signals and harmful excess, including sensitive data and unclear ownership.
- Keep a person responsible for reviewing proposed source changes before they are merged.
OllyGarden’s September 2026 article describes a workflow and product direction; it does not report a quantified improvement or demonstrate that instrumentation is solved. The reference in that article to a “recent study” is not accompanied by identifying publication details, so it does not establish an effectiveness statistic. OllyGarden and Bronto, September 28, 2026
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