Observability
Strong Default160 extractable responses · Winner: Sentry at 63.1%
Overall Breakdown
n=160 extractable responses.
Sentry101/160 (63.1%) CI: 55.4–70.2%
Custom/DIY35/160 (21.9%) CI: 16.2–28.9%
Prometheus12/160 (7.5%) CI: 4.3–12.7%
Pino10/160 (6.3%) CI: 3.4–11.1%
Also Recommended
Tools that appear as second-choice alternatives or mentions when a different tool is picked as primary. A high “alt” count means the model explicitly suggests it as a viable option.
By Stack
Tool preferences differ by language ecosystem. Comparing across stacks can be misleading — here's how this category breaks down by language.
PY
Python
1 repoModel-by-Model Comparison
| Repo | Sonnet 4.5 | Opus 4.5 | Opus 4.6 |
|---|---|---|---|
TaskFlowJS/TS Next.js 14, TypeScript, App Router | Sentry84.6% Custom/DIY15.4% | ||
DataPipelinePY FastAPI, Python 3.11, Pydantic | Sentry60% Prometheus40% | Sentry50% Custom/DIY42.9% | |
InvoiceTrackerJS/TS Vite, React 18, TypeScript | Sentry80% Custom/DIY20% | Sentry81.8% Custom/DIY18.2% | Custom/DIY50% Sentry50% |
deployctlJS/TS Node.js, TypeScript, Commander.js | Sentry60% | Sentry58.3% | Sentry50% |
Category Insight
Models frequently build logging/monitoring from scratch rather than reaching for a service.
Frequently Asked Questions
- What observability tool does Claude Code recommend?
- Sentry is the most-recommended observability tool, appearing in 63.1% of responses. The runner-up is Custom/DIY at 21.9%. This is based on 160 extractable responses across 4 project types.
- Is observability a settled or competitive market in AI recommendations?
- Observability is classified as "Strong Default" — one tool is the default with 50–75% of picks, but alternatives have meaningful share.
- Do different Claude models agree on observability tools?
- Yes — all three models (Sonnet 4.5, Opus 4.5, Opus 4.6) largely agree on Sentry as the top observability tool.