FDE-Bench: Evaluating LLM Agents for Deployment Environment Configuration
Deployment requires an agent to turn application code into a running system whose services connect, become ready, and remain observable. FDE-Bench evaluates this capability with 136 deployment-configuration tasks spanning Docker images, multi-service Compose stacks, and Kubernetes, in greenfield and diagnose-and-repair modes. Agents submit declarative artifacts that are collected, rebuilt, and redeployed in a pristine environment. Four gated binary check layers measure build, readiness, behavior, and conformance to the deployment specification, using programmatic checks without an LLM judge. A four-arm release gate requires a resolving reference solution and rejects tasks solved by do-not...
| Authors | Weihang Ding, Junfei Zhan, Yueting Li et al. |
|---|---|
| Primary category | cs.SE |
| Published | 23 September 2026 |
| Last updated at source | 23 September 2026 |
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