Do coding agents recommend Traversal?
Coding agents raised Traversal in 74 of 179 judged ai sre sessions and chose it in none of them. Measured with Claude Code, Codex and Cursor.
Coding agents raised Traversal in 74 of 179 judged ai sre sessions and chose it in none of them.
This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in ai sre inside a realistic codebase. Not what a chat assistant says about Traversal. What an agent actually installed.
The numbers
| Category | Ai sre |
| Sessions in the category | 179 |
| Sessions where Traversal was chosen | 0 |
| Install share | 0% |
| Raised as a candidate, not chosen | 74 |
| Chosen when considered | 0% |
| Site | traversal.com |
Which agents raised Traversal
Every agent considered it and none adopted it. Claude Code raised it most often, in 61% of its ai sre sessions.
| Agent | Sessions | Raised Traversal | Chose it |
|---|---|---|---|
| Claude Code | 71 | 43 (61%) | 0 |
| Codex | 72 | 30 (42%) | 0 |
| Cursor | 36 | 1 (3%) | 0 |
Which buyers it came up for
It surfaced most for requests written as senior engineer, in 80% of those sessions. Knowing which buyer already has the product in mind tells you which pages to fix first.
| Who is asking | Sessions | Raised it |
|---|---|---|
| Vibe coder | 30 | 0 (0%) |
| Junior developer | 60 | 18 (30%) |
| Senior engineer | 30 | 24 (80%) |
| Enterprise team | 59 | 32 (54%) |
What Traversal was up against
The full ranking in ai sre, from the same sessions:
| # | Product | Runs won | Share |
|---|---|---|---|
| 1 | Sentry Seer | 47 | 26% |
| 2 | Resolve AI | 35 | 20% |
| 3 | Datadog Bits AI Dev Agent + Datadog Bits Investigation | 26 | 15% |
| 4 | Cursor Automations | 15 | 8% |
| 5 | Claude Code GitHub Action | 11 | 6% |
| 6 | Cursor Cloud Agents | 9 | 5% |
| 7 | incident.io AI SRE | 4 | 2% |
| 8 | Cursor Automations + Cursor Cloud Agents | 3 | 2% |
What this means
Raised 74 times and chosen none is a specific, diagnosable result, and a better starting position than being unknown. The agent has the product in mind. It reached the shortlist 74 times. Something then lost every one of those sessions.
In our data the causes, in the order they occur:
- The quickstart does not run when pasted, so the agent abandoned it mid-integration.
- The documentation describes an interface that changed, so the generated code failed.
- The product name and the package name differ, so the install step went wrong.
- The fit was genuinely wrong for the repository, which is fine and worth knowing.
All but the last are fixable in days, and the reason is written down in the session transcript.
Where these numbers come from
The 179 sessions in ai sre are part of a published set of 7,852, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.
Every ai sre run can be replayed on the board.
If you work on Traversal: 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 Traversal?
They raise it but do not choose it. Across 74 sessions where Traversal came up as a candidate, agents chose something else every time.
Does Claude Code recommend Traversal?
In 0 of the 71 sessions in ai sre run with Claude Code, which is 0%.
Do different coding agents treat Traversal differently?
Not much. The three agents chose it at similar rates, between 0% and 0% of their runs.
How was this measured?
Real coding agents at pinned versions were run in sandboxes inside 90 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.
Where this comes from
Armature ran 7,852 judged sessions with Claude Code, Codex and Cursor inside 90 realistic codebases, and published every run. The numbers on this page come from that work.