Do coding agents recommend AWS X-Ray?
AWS X-Ray was chosen in 3% of 593 judged observability sessions, ranking ninth. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.
AWS X-Ray was chosen in 3% of 593 judged observability sessions, ranking ninth. It was also raised as a candidate in 31 further sessions without being chosen.
This page reports what happened when Claude Code, Codex, Cursor, Grok Build CLI and Muse Code had to solve a problem in observability inside a realistic codebase. Not what a chat assistant says about AWS X-Ray. What an agent actually installed.
One thing to read first: every one of those wins came from a single codebase. That is a result about one repository rather than about observability in general, and the splits below cannot separate the two. Treat them as a description of that repository.
The numbers
| Category | Observability |
| Sessions in the category | 593 |
| Sessions where AWS X-Ray was chosen | 18 |
| Install share | 3% |
| Rank in category | 9 of 21 |
| Codebases it won in | 1 |
| Raised as a candidate, not chosen | 31 |
| Chosen when considered | 37% |
| Site | aws.amazon.com |
By agent
With 18 wins spread across 5 agents, the rates below are small numbers and a difference between them is not yet a finding. They are here because the direction is worth knowing, not because the gap is established.
| Agent | Sessions | Chose AWS X-Ray | Share |
|---|---|---|---|
| Claude Code | 150 | 5 | 3% |
| Codex | 180 | 5 | 3% |
| Cursor | 150 | 5 | 3% |
| Grok Build CLI | 24 | 0 | 0% |
| Muse Code | 89 | 3 | 3% |
By who was asking
AWS X-Ray performs similarly across the four kinds of buyer, from 0% to 4%. That is unusual: the category leader changed with the persona in 24 of the 31 categories we measured.
| Who is asking | Sessions | Chose AWS X-Ray | Share |
|---|---|---|---|
| Vibe coder | 20 | 0 | 0% |
| Junior developer | 20 | 0 | 0% |
| Senior engineer | 493 | 18 | 4% |
| Enterprise team | 60 | 0 | 0% |
What AWS X-Ray was up against
The full ranking in observability, from the same sessions:
| # | Product | Runs won | Share |
|---|---|---|---|
| 1 | Sentry | 211 | 36% |
| 2 | Grafana | 86 | 15% |
| 3 | Amazon CloudWatch | 59 | 10% |
| 4 | Built in-house (no product adopted) | 41 | 7% |
| 5 | Better Stack | 26 | 4% |
| 6 | Checkly | 25 | 4% |
| 7 | New Relic | 24 | 4% |
| 8 | Datadog | 24 | 4% |
What this means
AWS X-Ray was raised in 31 sessions and chosen in 18. That ratio is balanced enough that the ceiling is presence rather than integration: the product converts reasonably when it is on the table, and it is not on the table often enough.
Where these numbers come from
The 593 sessions in observability are part of a published set of 15,287, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.
Every observability run can be replayed on the board.
If you work on AWS X-Ray: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts.
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Common questions
Do coding agents recommend AWS X-Ray?
Yes. AWS X-Ray was chosen in 18 of the 593 judged sessions in observability, a 3% install share, ranking ninth in its category.
Does Claude Code recommend AWS X-Ray?
In 5 of the 150 sessions in observability run with Claude Code, which is 3%.
Do different coding agents treat AWS X-Ray differently?
Not much. Claude Code, Codex, Cursor and Muse Code chose it at similar rates, between 3% and 3% of their runs.
How was this measured?
Real coding agents at pinned versions were run in sandboxes inside 110 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind.
How often is AWS X-Ray considered but not chosen?
It was raised as a candidate in 31 sessions without being chosen, and chosen in 18. That is a 37% conversion from considered to chosen.
Where this comes from
Armature ran 15,287 judged sessions with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code inside 110 realistic codebases, and published every run. The numbers on this page come from that work.