Hugging Face Datasets
metadata only
DeepLethe/FDE-Gym
FDE-Gym: The Last Mile of AI Delivery FDE-Gym tests whether an agent can do the work of a forward-deployed engineer: enter a customer's running environment, find out what matters there, make the decisions the job needs, and ship a system that holds up in production. Paper: arXiv:2610.22350 · Leaderboard: https://fde-gym.com/paper This repository holds the original task of each of the 20 scenarios. What is here cases// engagement.json title, what the…
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Security of Agent-Integrated Software: When Human Operations and Agent Actions Coexist#1048970
- Security of Agent-Integrated Software: When Human Operations and Agent Actions Coexist#1028618
- Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification#1215876
- Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification#1194468
- Companion AI and Ethical Design: Learning from System Failures and User Desires#972498
Record · ID 1367202
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive