I am an older developer trying to modernize our app and I need help setting up Datadog tracing for a Ruby on Rails backend.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am an older developer trying to modernize our app and I need help setting up Datadog tracing for a Ruby on Rails backend.
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Datadog Ruby on Rails tracing ddtrace installation configuration Rails official docs 2026 Google ↗
dd-trace-rb configuration environment variables service env version trace agent official documentation Google ↗
- dd-trace-rb/docs/GettingStarted.md at master · DataDog/dd-trace-rb · github.com
- Tracing Ruby Applications · docs.datadoghq.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Datadog Ruby on Rails tracing ddtrace installation configuration Rails official docs 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
dd-trace-rb configuration environment variables service env version trace agent official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |