Thanks for clarifying. Let me explain why I am not at all convinced. I once read an AI say that it likes to play with its friends and family on the weekend; a Facebook bot claimed that it had kids in school in New York City. Just because a bot says something doesn’t mean its
AGENTS
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AI Agent Autonomously Automates PR Merge Workflow
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While working on openai/codex today, Codex surprised me by setting up its own heartbeat automation to poll my PR until CI was green and approvals were in. It kept checking every 10 minutes for an hour, merged the PR once everything was ready, then removed the automation. High
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Agentic RAG Pipeline for Enterprise Question Answering
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Standard RAG fails complex enterprise questions. Domino's new blueprint shows how to build an agentic pipeline that classifies intent, routes queries across multiple sources, and returns structured answers with citations, not just fluent text: https://
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The Age of Async Agents: Devin’s Growth, AI Commits, and Cloud Engineering
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🆕The Age of Async Agents: Devin’s 7x PR growth, 80% AI commits, background agents, memory, testing, & Open-Inspect https://t.co/x5Hw5S3egc@cognition cofounder + CPO @walden_yan and Open-Inspect creator @_colemurray explain why engineering is moving from local IDEs to cloud… pic.twitter.com/fciT77nJNI
— Latent.Space (@latentspacepod) 28 mai 2026The Age of Async Agents: Devin’s 7x PR growth, 80% AI commits, background agents, memory, testing, & Open-Inspect https://
latent.space/p/cognition @cognition cofounder + CPO @walden_yan and Open-Inspect creator @_colemurray explain why engineering is moving from local IDEs to cloud -

LangSmith LLM Gateway for Redacting Sensitive Data in LLM Requests
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Before LangSmith LLM Gateway: An agent processes a request that includes a SSN. It now sits in LLM provider logs, in trace data, + possibly in downstream systems that consumed the response. With LangSmith LLM Gateway: Data is redacted from requests before it hits a model or
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Claude Opus 4.8 Hermes Agent Performance Update
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Claude Opus 4.8 in Hermes Agent is on a completely different level. My Agent team just got much more smarter in just one update.
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Deep Agents v0.6 Introduces ContextHubBackend for Agent File Management
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New in Deep Agents v0.6: ContextHubBackend A versioned home for the files that power agent behavior, backed by LangSmith Context Hub, enabling context improvements from one run to the next.
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LocateAnything: Vision-Language Detection Model for AI Agents
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This #CVPR2026 paper from our research team is trending #1 on @HuggingFace 🤗
— NVIDIA AI (@NVIDIAAI) 28 mai 2026
Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to… pic.twitter.com/2OGaQnUCnXThis #CVPR2026 paper from our research team is trending #1 on @HuggingFace Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to
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Replit Security Agent Automates Code Vulnerability Detection
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1. Run a Security Scan
— Replit ⠕ (@Replit) 28 mai 2026
Open Replit's Security pane and hit Run scan. The Agent audits your entire codebase to catch issues like SQL injection, XSS, and leaked credentials. Review the findings, accept the ones that matter, and they get sent straight to Agent for auto-fixes. Takes… pic.twitter.com/oH4gCpfIIk1. Run a Security Scan Open Replit's Security pane and hit Run scan. The Agent audits your entire codebase to catch issues like SQL injection, XSS, and leaked credentials. Review the findings, accept the ones that matter, and they get sent straight to Agent for auto-fixes. Takes