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Async subagents keep your agent responsive to you while background workers handle the long tasks.

langchain.com/blog/agents-ar…

LangChain Community Spotlight: Which User Is Costing You Money? 💸

Your agent bill went up and you want to know which user did it. Soba Labs shows how to find out by passing a user_id in each run's metadata, then grouping LangSmith's dashboard by user to see cost per customer. They also found that behind an OpenAI proxy, streamed token usage can read zero, so check one trace by hand before you trust the split.

📺 Watch the episode: youtube.com/shorts/vcoxAV7…

LangChain Community Spotlight: 50 Advanced Generative AI Concepts 🧠

Gustaf, a senior AI engineer, explains 50 GenAI concepts and their trade-offs. In the section on agent skills, he points out that an agent picks what to load from each skill's short description, so a skill with a weak description might never be found. He suggests using LangSmith to check whether your agent actually loads the skills it's supposed to.

📺 Watch the full breakdown: youtube.com/watch?v=mqPd8v…

LangChain Community Spotlight: How Deep Agents Run the Porting Loop 🎮🤖

Bart Ludera (CEO, Harnessloop) writes up a production game port where an agent built on LangChain's Deep Agents took over the build-and-test loop a programmer used to drive by hand. It reruns the same scenario before calling a defect fixed, and the programmer now steers several of these agents at once.

📖 Read the full case study: harnessloop.dev/blog/how-deep-…

Async subagents keep your agent responsive to you while background workers handle the long tasks.

Try them out in Deep Agents today!