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://
hubs.ly/Q04hR73m0
AGENTS
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Agentic RAG Pipeline for Enterprise Question Answering
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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
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Opus 4.8 AI Model Release: Agentic Coding Boost, Faster, Cheaper Modes
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Opus 4.8 is live. Benchmarks especially significant jump in Agentic coding, but more important: „Fast mode is available for Opus 4.8. It's the same model at roughly 2.5x the speed, and we've made it three times cheaper than before.“
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Behavior change in AI: plans, recovers errors, creative, feels senior
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Benchmarks are great, but IMO the behavior change is a much bigger deal. Plans before it edits, recovers from its own errors, and finds creative ways around obstacles instead of stalling. Feels much more like a senior engineer than 4.7, and better at long-horizon work.
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New Claude features: fast mode, dynamic workflows, effort controls
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Also shipping today:
• Fast mode for Opus 4.8 – 2.5x faster, 3x cheaper vs 4.7
• Dynamic workflows in CC – hundreds of parallel subagents in one session, and verifies its own work • Effort controls on http://
claude.ai – choose how much effort Claude puts into a query