Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals
Context: AI coding agents route every task to a single frontier large language model (LLM), paying premium inference cost even when many tasks are routine. Objectives: We propose Triage, a framework that uses code health metrics -- indicators of software maintainability -- as a routing signal to assign each task to the cheapest model tier whose output passes the same verification gate as the expensive model. Methods: Triage defines three capability tiers (light, standard, heavy -- mirroring, e.g., Haiku, Sonnet, Opus) and routes tasks based on pre-computed code health sub-factors and task metadata. We design an evaluation comparing three routing policies on SWE-bench Lite (300 tasks acros...
| Authors | Lech Madeyski |
|---|---|
| Primary category | cs.SE |
| Published | 8 April 2026 |
| Last updated at source | 8 April 2026 |
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