Scrouting: Cost-Aware Routing of Coding Agents by Scouting the Repository First
Frontier language models can resolve repository-level software issues, but each attempt is expensive, and existing routers select a model from the issue text alone. We present SuperScout, which routes after scouting the repository: a 7B searcher, SuperScout-7B, first explores the repository and produces a structured handoff whose reproduction claims are sandbox-verified, with false claims stripped before delivery. The searcher's hidden states, together with the task text, then feed a resume-based router that dispatches the task to one of four frontier fixers. Adding a new fixer requires no retraining. On the full Python slice of SWE-bench Pro (266 tasks) under the benchmark's official cap...
| Authors | Ishaan Bhola, Adithyan Krishnan, Mukunda NS |
|---|---|
| Primary category | cs.SE |
| Published | 5 August 2026 |
| Last updated at source | 5 August 2026 |
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