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I built a mobile app, promo video, and pitch deck for my travel app at the same time using Replit's parallel agents π pic.twitter.com/alTA1mPULy
— Replit β (@Replit) 9 juin 2026
I created a mobile app, a promotional video and a pitch deck for my travel app at the same time using Replit's parallel agents
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AI understands humans better and better. Humans understand AI less and less. 3 trends are emerging: recursive self-improvement, proliferation of agents, persistent integration into daily life. Result: increasing behavioral opacity. The window for
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Regarding the first benchmark table they share, the big leap is observed especially in agentic programming (where labs get more value from users). The new FrontierCode Diamond benchmark released yesterday, designed to be more difficult than
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We're proud Snorkel AI is part of Agents' Last Exam, with our researchers @amanda_dsouza and @vincentsunnchen among the co-authors and support from our Open Benchmarks Grants initiative.
— Snorkel AI (@SnorkelAI) 9 juin 2026
The forecast: agents will do almost every job by 2027. The result on real, code-graded work?β¦ https://t.co/QmhOGdTNQ9 pic.twitter.com/FSnsszIszO
We're proud Snorkel AI is part of Agents' Last Exam, with our researchers @amanda_dsouza and @vincentsunnchen among the co-authors and support from our Open Benchmarks Grants initiative. The forecast: agents will do almost every job by 2027. The result on real, code-graded work?
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I've had access to Fable for a bit. A genuine jump in capability, I could feed it a 15 page design document for a project and it would work for 9+ hours and deliver terrific results. But working with it is weird & weirder is coming Lots of examples:
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Sign up for free to our LangChain Academy course and get ready to learn how to monitor + improve agents in production.
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Managed Deep Agents is built to handle real-world interactions:
— LangChain (@LangChain) 9 juin 2026
30+ endpoints for agents, integrations, connections, triggers, threads, and runs
Purpose built task queues to handle bursty traffic
SDKs for chat, streaming, and HITL pic.twitter.com/gK3ToNTO1C
Managed Deep Agents is designed to handle real-world interactions: Over 30 endpoints for agents, integrations, connections, triggers, threads, and executions. Task queues specifically designed to handle burst traffic. SDK
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No, you just connect your external agent via a skill and then can communicate to any MagiPath project. We even have a Codex plugin now. In Codex or Cursor, you can have MagicPath running directly in their native browser as an extended canvas. https://t.co/pfGGMdT2wk
— Pietro Schirano (@skirano) 9 juin 2026
No, you just connect your external agent via a skill and then can communicate to any MagiPath project. We even have a Codex plugin now. In Codex or Cursor, you can have MagicPath running directly in their native browser as an extended canvas.
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Production traces should not just show what went wrong. They should help teams decide what to fix next. In this upcoming session, weβll show how LangSmith Engine: watches traces, clusters recurring failures, diagnoses root causes, drafts fixes, and proposes evals to prevent
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Let Agents Design Agents! Memento-Skills is a self-evolving agent framework where agents learn from failures and rewrite their own skills. Most agent frameworks treat skills as static. You write them once, load them into context, and hope they work. When they fail, you debug