In the news
Orchard: An open framework for scalable agentic AI
Microsoft Research · Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, Jianfeng Gao · Published · 3 min read
In 30 seconds
- What happened
- Microsoft Research released Orchard, an open-source framework for training and evaluating autonomous AI agents across software engineering, web navigation, and productivity tasks.
- Why it matters
- Researchers building agentic AI systems need reusable infrastructure to avoid rebuilding custom environments and proprietary pipelines for each new task domain.
- Watch out
- Results use relatively small models; real-world deployment performance in production harnesses versus research benchmarks remains to be validated at scale.
Listen to this summary
- agent
- agentic
- eval
The patterns behind this
Each one covers how the technique works, when it earns its cost, and where it breaks.
The Agent Architect
One pattern, one tradeoff, one production failure story. A short weekly briefing for people building agentic systems.
Weekly email, one-click unsubscribe. We only use your address to send the briefing.