Codex tip: ask Codex to review your old PRs/sessions and update your global agents md file with your development workflow details: branch naming conventions, commit messages, attribution, test plan, and more
AUTOMATION
-
Teams lack a continuous improvement system for their agents
By
–
Most teams building today have traces, what they don't have is a system for continuously improving their agents.
— LangChain (@LangChain) 23 juin 2026
The teams that do use an agent development lifecycle: build, test, deploy, and monitor.
The problem with this lifecycle? It scales at the speed of their engineers. pic.twitter.com/YlXt3BRrQ2Most teams that build today have traces, what they don't have is a system to continuously improve their agents. Teams that use an agent development lifecycle: build, test, deploy, and monitor. The problem
-
LangSmith Engine identifies issues, clusters patterns, and fixes agents
By
–
That's why we built LangSmith Engine, an agent built to improve your agent. Engine identifies issues from traces, clusters patterns, drafts fixes, and proposes evals to prevent regressions. Connect your tracing project + start improving your agent today:
-
Bringing long-horizon agentic workflows to everyone
By
–
bringing long-horizon agentic workflows to the masses
-
TryLatitude open sources agent monitoring with see-catch-fix flow
By
–
Developers and builders!
— Robert Scoble (@Scobleizer) 23 juin 2026
Everyone is shipping agents and nobody has a clean system for seeing what they actually do in production.@trylatitude just open sourced their monitoring platform with the see catch fix flow built in. You get clustered failure patterns, auto evals, and… https://t.co/3C3W1rNwsdDevelopers and builders! Everyone is shipping agents and nobody has a clean system for seeing what they actually do in production. @trylatitude just open sourced their monitoring platform with the see catch fix flow built in. You get clustered failure patterns, auto evals, and
-
17-minute guide to transform LangGraph into a voice agent
By
–
You can turn an existing LangGraph agent into a fully functional voice agent with @pipecat_ai.
— LangChain (@LangChain) 23 juin 2026
This 17-minute walkthrough shows you exactly how to do it. https://t.co/N28T4sQ153 pic.twitter.com/BNy9MygE3xYou can transform an existing LangGraph agent into a fully functional voice agent with @pipecat_ai. This 17-minute practical guide shows you exactly how to do it.
-
MagicPathAI integration for local repo workflows with interactive code
By
–
We built the @MagicPathAI integration specifically for local repo workflows.
Everything on the canvas is real, interactive code, so imported components retain their states, interactions, and animations. Just open your repository and ask the agent to use the MagicPath skill. -
Agents fail silently in production, Latitude detects them
By
–
Agents are failing in production right now and most teams have no idea.
— AI Highlight (@AIHighlight) 23 juin 2026
They fail silently returning responses that look fine until a customer notices.
Latitude traces full agent sessions, surfaces the patterns, and tracks every issue from detection to verified fix. https://t.co/ZWhYgmywJEAgents are failing in production right now, and most teams have no idea. They fail silently, returning responses that seem correct until a customer notices. Latitude traces complete agent sessions, highlighting
-
The mechanical accumulation of useless code in agentic coding
By
–
With agentic coding, complexity accumulates mechanically: useless code ends up in the codebase, migrates to the context window, degrades the model's reasoning capabilities, and leads to even more useless code (often to
-
The Art of Loop Engineering with Deep Agents
By
–
The art of loop engineering, powered by Deep Agents! https://langchain.com/blog/the-art-of-loop-engineering …