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FDE-Gym tests agents on underspecified customer delivery

FDE-Gym contains 95 end-to-end delivery tasks across 20 customer scenarios and 18 sectors. Agents must uncover unstated constraints, modify running systems and are scored by improvement in the customer business metric. The authors evaluated 13 model configurations from seven providers; the best resolved only 14 tasks. The harness and three example tasks are public, while the full task set requires access approval.

Availability: Apache-2.0 harness and three public examples; full 20 scenarios on request; variants and reference solutions held out

What this means for you

For teams evaluating coding agents, this exposes the gap between passing code tests and improving customer outcomes. The full data is controlled and scores come from author-run experiments, so transfer to a local delivery process still needs validation.

FRONTIER WATCH

Public artifacts and validated results are different.

The recorded fact is the public work and its artifacts. Author-reported outcomes do not establish independent reproduction. Next checks include usable code, task conditions and third-party validation.

Evidence & related material

Technical details & scores
Tasks 95 tasks, 20 customer scenarios, 18 sectors
Score normalized business uplift minus stakeholder contact cost
Vendor Result best mean 0.56; 14 of 95 resolved at >=0.8 with no incident
Availability Apache-2.0 harness and three public examples; full 20 scenarios on request; variants and reference solutions held out
Time Basis arXiv v1 published 2026-10-15T17:57:23Z; discovered after the window through delayed indexing
Technical impact 3
Engineering value 5
Adoption signal 2
Maturity 2
Verification cost 3
Risk 2