alphaXiv
alphaXiv is τ-BENCH is introduced as a benchmark evaluating AI systems on their ability to construct deployable, customer-facing agents from realistic business artifacts. Experiments reveal that current LLM.... It is ranked #132 on the Dev Radar, in AI dev tools, first seen 17 days ago and shared in 9 posts (116.1k views).
$τ^τ$-Bench: An Environment for End-To-End, Realistic Agent Construction | alphaXiv Abstract Paper Submitted 04 Sept 2026 en τ τ τ^τ τ τ -Bench: An Environment for End-To-End, Realistic Agent Construction Stanford Quan Shi KD Keshav Dhandhania Karthik Narasimhan Victor Barres Abstract LLM agents are rapidly becoming production software, deployed to handle customer service, adjudicate disputes, and operate internal systems. Notably, the work of building them is increasingly handed to coding agents, yet existing benchmarks say little about whether an AI system can deliver one under the conditions of a real client engagement. We introduce τ τ…
What people said about alphaXiv on X
“Design Docs Are All You Need” AI coding agents usually modify existing code, which easily accumulates technical debt and loses global context as codebases evolve. So this paper suggest to treat natural-language design docs as the source of truth and code as disposable. A DAG of self-contained docs is rebuilt from…
— @askalphaxiv, 9 days ago · 291 likes · see the post
“DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression” With the rise in popularity of long-horizon agents, prefill compute and KV cache storage are becoming major efficiency bottlenecks as context lengths grow. DeepSeek-V4.1-Flash attacks this at the architecture level. Its new Causal Encoder-Decoder…
— @askalphaxiv, 8 days ago · 372 likes · see the post
“Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement” Coding agents right now struggle to build software continuously over long horizons. This paper wraps existing coding agents in repeated planning, coding, and independent testing loops, carrying forward both the software and…
— @askalphaxiv, 16 days ago · 271 likes · see the post
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alphaXiv in numbers
- Rank on the Dev Radar: #132 of 1355
- Shared in 9 posts by 2 accounts: @askalphaxiv, @sheriyuo
- 116.1k views on those posts
- First seen 17 days ago, last shared 6 days ago
- Pricing seen by Jev: not stated
- Market: AI dev tools
FAQ
What is alphaXiv?
τ-BENCH is introduced as a benchmark evaluating AI systems on their ability to construct deployable, customer-facing agents from realistic business artifacts. Experiments reveal that current LLM... It was first shared on X 17 days ago and is ranked #132 on the Dev Radar.
Is alphaXiv free?
Pricing is not stated on the page we read.
Who shared alphaXiv?
2 accounts on X, including @askalphaxiv, @sheriyuo, in 9 posts totalling 116.1k views.
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 12.2k posts from 4.7k X accounts over the last 21 days, 1.4k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 18:39 UTC. Full method.