τ^τ-bench asks whether a coding agent can deliver a working LLM agent under real client-engagement conditions

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arXiv 2609.04611 (2026-09-04) starts from the observation that building production LLM agents is increasingly handed to coding agents, while existing benchmarks say nothing about whether an AI system can actually deliver one for a client. The benchmark is end-to-end and realistic rather than task-level, testing agent construction as the deliverable. Worth watching as the first benchmark that measures the exact loop most builders are now in: using an agent to build an agent.