Source details
- Original source
- Harrison Chase
- Published
- 2026-07-11
- Primary topic
- AI Agents
Why it matters
Agent products, browser agents, autonomous workflows, operator systems, and orchestration tools. This item originated as a short-form social post, so the context blocks below help expand it into tools, models, and evaluation guides.
What happened
LangSmith does this for you - in the cloud: LangSmith sandboxes & LangSmith deployments - any model: LangChain integrates with 100s - harness: deep agents - tracing: langsmith observability - recursive improvement: langsmith engine Aditya Agarwal (@adityaag) Everything in AI moves so fast. We are going to get here: - Run all the agents in the cloud - Choose any model (frontier, OSS, Chinese, American) - Choose any harness - Have full tracing - Have recursive improvement loops I know it will be there but can it happen already? — https://nitter.net/adityaag/status/2076047290083733539#m
What to do next
Move into automation and workflow tools next so you can evaluate whether the agent story is actionable or still mostly experimental.
LangSmith does this for you - in the cloud: LangSmith sandboxes & LangSmith deployments - any model: LangChain integrates with 100s - harness: deep agents - tracing: langsmith observability - recursive improvement: langsmith engine Aditya Agarwal (@adityaag) Everything in AI moves so fast. We are going to get here: - Run all the agents in the cloud - Choose any model (frontier, OSS, Chinese, American) - Choose any harness - Have full tracing - Have recursive improvement loops I know it will be there but can it happen already? — https://nitter.net/adityaag/status/2076047290083733539#m
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