"Claude Code isn't magic. The harness layer is just software, and software is something any dev can shape to fit how they want to work." Check out @Hacubu’s practical guide to building a custom agent with @LangChain’s Deep Agents, LangSmith, and ACP. blog.jetbrains.com/ai/2026/0…
@langchain
-
LangSmith Billboards Launch Campaign for Agent Optimization
By
–
I love these almost as much as i love using langsmith https://t.co/WJVg1aFPsE
— Hayden Wolff (@HaydenWolff1) 8 avril 2026I love these almost as much as i love using langsmith Harrison Chase (@hwchase17) LangSmith 🤝Fix your agents You'll see our billboards around SF and NYC over the next few months. The themes all point to the same problem: you don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then measure whether your fixes work. That loop is how agents get better, and LangSmith is built to power that workflow. If you spot one around, send it our way! — https://nitter.net/hwchase17/status/2041546634895757684#m
-
LangSmith Enables Agent Tracing and Optimization Loop
By
–
as always, it's an exciting time to be working at LangChain! https://t.co/JrgR2YMT4Q
— Sam Crowder (@samecrowder) 8 avril 2026as always, it's an exciting time to be working at LangChain! LangChain (@LangChain) LangSmith 🤝 San Francisco You don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then measure whether your fixes work. That loop is how agents get better, and LangSmith is built to power that workflow. — https://nitter.net/LangChain/status/2041656189860393383#m
-
LangSmith: Tracing and Evals for Agent Optimization
By
–
LangSmith 🤝 San Francisco
— LangChain (@LangChain) 7 avril 2026
You don't know what your agents will do until you actually run them. What works in demos can break in the real world.
Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then… pic.twitter.com/MmN9KLlfRtLangSmith 🤝 San Francisco You don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then measure whether your fixes work. That loop is how agents get better, and LangSmith is built to power that workflow.
-
DeepAgents v0.5 Released with Async Subagents Support
By
–
we just released deepagents v0.5 with support for async subagents, multi-modal filesystem support, and a sleek new backend interface. read all about it!! blog.langchain.com/deep-agen…
-
Arcade MCP Tools Integrated Into LangSmith Fleet Platform
By
–
Fleet just got 7,500x more powerful now that it has first class support for connecting to @TryArcade MCP servers 🎉
— Brace (@BraceSproul) 7 avril 2026
Create MCP servers in Arcade using any of the thousands of tools they support, and have them load directly into Fleet.
It's never been easier to create and use… https://t.co/1ypo3Slaj5Fleet just got 7,500x more powerful now that it has first class support for connecting to @TryArcade MCP servers 🎉 Create MCP servers in Arcade using any of the thousands of tools they support, and have them load directly into Fleet. It's never been easier to create and use 3rd party tools in Fleet: smith.langchain.com/agents LangChain (@LangChain) .@TryArcade's 7,500+ agent-optimized MCP tools are now available in LangSmith Fleet. Create a gateway and your agents get secure access to Salesforce, GitHub, Zendesk, Asana, and many more. Read more: blog.langchain.com/arcade-de… — https://nitter.net/LangChain/status/2041557866365251588#m
-
LangChain MongoDB Confluent Happy Hour Google Cloud Next
By
–
Join LangChain, MongoDB, and Confluent for a happy hour during Google Cloud Next. Come grab a drink and connect with other builders, engineers, and teams working on modern AI infrastructure.
— LangChain (@LangChain) 7 avril 2026
Space is limited, register now to save your spot.https://t.co/R2w6nzFrc9 pic.twitter.com/SHXP8wGEJmJoin LangChain, MongoDB, and Confluent for a happy hour during Google Cloud Next. Come grab a drink and connect with other builders, engineers, and teams working on modern AI infrastructure. Space is limited, register now to save your spot. events.mongodb.com/googleclo…
-
Arcade.dev MCP Tools Now Available in LangSmith Fleet
By
–
.@TryArcade's 7,500+ agent-optimized MCP tools are now available in LangSmith Fleet.
— LangChain (@LangChain) 7 avril 2026
Create a gateway and your agents get secure access to Salesforce, GitHub, Zendesk, Asana, and many more.
Read more: https://t.co/WovFuSAW93 pic.twitter.com/r5CLOaJtXU.@TryArcade's 7,500+ agent-optimized MCP tools are now available in LangSmith Fleet. Create a gateway and your agents get secure access to Salesforce, GitHub, Zendesk, Asana, and many more. Read more: blog.langchain.com/arcade-de…
-
LangSmith: Debugging and Optimizing AI Agents in Production
By
–
LangSmith 🤝Fix your agents
— Harrison Chase (@hwchase17) 7 avril 2026
You'll see our billboards around SF and NYC over the next few months.
The themes all point to the same problem: you don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and… pic.twitter.com/IRKrj7J1y7LangSmith 🤝Fix your agents You'll see our billboards around SF and NYC over the next few months. The themes all point to the same problem: you don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then measure whether your fixes work. That loop is how agents get better, and LangSmith is built to power that workflow. If you spot one around, send it our way!
-
LangChain Collapse Reduces Context Bloat in Long Running Agents
By
–
long running agents (like deepagents) suffer from tool call induced context bloat s/o @johanbonilla for langchain-collapse, an eager context compaction middleware that collapses long tool call sequences, reducing summarization overhead docs.langchain.com/oss/pytho…