LangSmith is now a remote MCP server. Point any MCP-capable client at it, sign in with your LangSmith account, and your assistant can read: Traces Projects Datasets Prompts Billing No local server or API keys necessary. Try it today.
TOOLS
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Codex: A Transformative Tool for All Computer Work, Not Just Coding
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codex is for everyone — a transformative tool for all work done with a computer, not just coding
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Codex Goal Feature for Long-Running Tasks
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/goal in Codex is wild!
— Vaibhav (VB) Srivastav (@reach_vb) 8 mai 2026
Give Codex the mission.
Tell it what “done” looks like.
Let it keep going until it hits the end state.
Perfect for big refactors, migrations, retry loops, long-running experiments, and all the “don’t stop until this works” tasks.
Enable it in… pic.twitter.com/6VZKGHt7Ch/goal in Codex is wild! Give Codex the mission.
Tell it what “done” looks like.
Let it keep going until it hits the end state. Perfect for big refactors, migrations, retry loops, long-running experiments, and all the “don’t stop until this works” tasks. Enable it in -
Routing tasks to cheapest model that meets quality bar
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What changed in May 2026: > Before: you picked one model and committed.
> After: you route tasks to the cheapest model that meets the quality bar. DeepSeek V4-Pro scores within 7-8 points of Claude Opus 4.7 on SWE-bench. At 1/7th the cost during promo. The prompting skill -
DeepSeek V4 integrated with Claude Code, reduced cost, parallel usage
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DeepSeek V4 now speaks Claude Code natively. $0.14 per million tokens vs $5.00 for Claude Opus 4.7. Here's the exact setup that runs DeepSeek as a second opinion alongside your main Claude session, without replacing it: ———————————-
DEEPSEEK PARALLEL
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LangChain adds API support for AI due diligence research agents
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@p0
's API suite is now supported in LangChain, and they wrote a cookbook for a due diligence agent. We're part of the recipe:
• Deep Agents for orchestrating dedicated research track subagents
• @p0
’s Task API for research, findings, confidence scores, and follow-ups Full -
Monetizing machine learning models with XGBoost
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Is your XGBoost model making money for you while you sleep? @trainxgb @tabul_ai
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Using AI Models to Optimize Prompt Routing and API Budget
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using a 1T parameter model to parse a 3-line JSON is a crime 😅@OrcaRouter just dropped.
— Charly Wargnier (@DataChaz) 8 mai 2026
It automatically routes prompts based on complexity to protect your API budget 👀
CFOs after reading this: https://t.co/bSrxIcukLZ pic.twitter.com/5YG9swOHUCusing a 1T parameter model to parse a 3-line JSON is a crime @OrcaRouter just dropped. It automatically routes prompts based on complexity to protect your API budget CFOs after reading this:
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LangSmith Fleet Agents Tracing Support
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Trace your Fleet agents? Supported ✅
— LangChain (@LangChain) 8 mai 2026
Don't trace your Fleet agents? Also supported ✅https://t.co/YJI6Y7SjK0 https://t.co/P72gdzfYWcTrace your Fleet agents? Supported Don't trace your Fleet agents? Also supported http://
langchain.com/langsmith/fleet -
AI video tool creates polished, glitch-free results
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Seeing how everything from the physics and textures to the atmospheric sounds works together makes the results feel much more complete. It is a solid tool if you want to create videos that actually look polished without the constant AI glitches. You should definitely try it out