Sign inGet started
Paper · arXiv

FDE-Gym: The Last Mile of AI Delivery

Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engineers (FDEs) must clarify ambiguous requirements, work in live systems, and uncover unstated constraints. We introduce FDE-Gym, a benchmark of 95 end-to-end delivery tasks from 20 customer scenarios across 18 sectors, each adapted by industry experts from real-world delivery projects. In simulated customer environments with scripted stakeholders and modifiable customer systems, agents interact with stakeholders and operate on production-like systems to deliver working solutions. FDE-Gym scores...

AuthorsDongxu Yang, Hongda Yan, Renxin Wang et al.
Primary categorycs.AI
Published15 October 2026
Last updated at source15 October 2026
cs.AIcs.CLcs.SE
Embed this entry
<iframe src="https://silytics.si/embed/item/30f5a3d0-aa3b-4e76-9cc9-57c83accce4e" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.