Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise
arXiv cs.AIen
arXiv:2609.28919v1 Announce Type: new Abstract: Harnesses, the products that run AI coding agents, are multiplying, and enterprises are rolling them out to their employees: what started as pilots with a few hundred seats is scaling to tens of thousands. Most enterprises do not build these harnesses but buy them from large vendors, such as Anthropic's Claude Code or OpenAI's Codex. A harness decides which model answers, what the model reads, how the prompt cache is used and which subagents run, so it picks the rate on the price sheet and sets the volume bought at it. Enterprises that keep a proprietary or untuned harness at its defaults inherit these choices and their bill. We build a fast, c
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- OpenAI
- Anthropic
- Forskning
- Agenter
Related AI news
- "One small step for TPUs": Google CEO Sundar Pichai announces Project Suncatcher to test AI compute in SpaceEconomic Times Tech · September 25, 2026
- PAWS: Policy-driven Agentic World SimulationarXiv cs.AI · September 25, 2026
- Functional Architecture of European Electricity Trading Markets: Requirements for AI Supported Trading Systems under Regulatory ConstraintsarXiv cs.AI · September 25, 2026
- When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability RoutingarXiv cs.AI · September 25, 2026
- TW3Cast: A Frozen Router of Lightly Fine-Tuned Foundation Models for Time-Series Forecasting on GIFT-Eval, Selected Entirely on the Training SplitarXiv cs.AI · September 25, 2026
- BaseCamp --- An Agentic AI Framework for Automating DNA Sequencing Data PipelinesarXiv cs.AI · September 25, 2026