“If you keep doing the same thing repeatedly, the plugin notices and offers to automate it.”

“Witness AI detects employee use of unapproved tools, blocking attacks, and ensuring compliance.”

“CLAUDE.md is a mechanism for providing the necessary knowledge (context) for Claude Code to work.”

“Overall, using LLM revisions with RAG increases the predicted success rate for weaker requests by 14% without degrading performance on stronger requests.”

“This article explores the core functionalities of Claude Code: 'Sub-agents' and 'Skills.'”

“Auto Claude isn't just a tool that executes prompts; it operates with a workflow similar to Specification Driven Development, automatically creating, verifying, and modifying specifications.”

“As companies deploy AI-powered chatbots, agents, and copilots across their operations, they’re facing a new risk: how do you let employees and AI agents use powerful AI tools without accidentally leaking sensitive data, violating compliance rules, or opening the door to […]”

“Daily IETF is a training-like activity that summarizes emails posted on I-D Announce and IETF Announce!!”

“Universal Commerce Protocol, or UCP, is Google’s new open standard for agentic commerce. It gives AI agents and merchant systems a shared language so that a shopping query can move from product discovery to an […]”

“Langflow…is a platform suitable for the need to quickly build agents and RAG applications with low code, and connect them to the operational environment if necessary.”

“Click to view original article>”

“In this tutorial, we build an advanced yet practical multi-agent system using OpenAI Swarm that runs in Colab. We demonstrate how we can orchestrate specialized agents, such as a triage agent, an SRE agent, a communications agent, and a critic, to collaboratively handle a real-world production incident scenario.”

“Enterprise agent adoption feels like the obvious near-term shift, but the second part is more interesting to me: scientific acceleration. If agents meaningfully speed up research, especially in materials, biology and compute efficiency, the downstream effects could matter more than consumer AI gains.”

“JetBrains AI Assistant supports ACP servers. ACP (Agent Client Protocol) is an open protocol proposed by Zed for communication between AI agents and IDEs.”

“BOAD outperforms single-agent and manually designed multi-agent systems. On SWE-bench-Live, featuring more recent and out-of-distribution issues, our 36B system ranks second on the leaderboard at the time of evaluation, surpassing larger models such as GPT-4 and Claude.”

“More than 20 venture capitalists share their thoughts on AI agents, enterprise AI budgets, and more for 2026.”

“I've been using CC for a while now. The only i use is straight up prompting + toggling btw Plan and autoaccept mode. The other CC features, like skills, plugins, hooks, subagents, just flies over my head.”

“SimVC-CAS significantly improves predictive accuracy while providing interpretable, multiperspective reasoning, for example, approximately 25% relative improvement with respect to average precision@10.”

“People don’t buy what you promise to do in 5–10 years. They buy what you help them do right now.”

“Only 68.3% of projects execute out-of-the-box, with substantial variation across languages (Python 89.2%, Java 44.0%). We also find a 13.5 times average expansion from declared to actual runtime dependencies, revealing significant hidden dependencies.”

“SWE-Compressor reaches a 57.6% solved rate and significantly outperforms ReAct-based agents and static compression baselines, while maintaining stable and scalable long-horizon reasoning under a bounded context budget.”

“The mental model is the attached diagram: there is one Executor (the only agent that talks to the user) and multiple Satellite agents around it. Satellites do not produce user output. They only produce structured patches to a shared state.”

“「New Relic Advent Calendar 2025 」シリーズ4・25日目の記事になります。”

“MCP (Model Context Protocol) is a standardized specification for connecting AI agents and tools.”

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“The research focuses on difficulty-aligned co-evolution between LLM agents and environment simulators.”

“IntelliCode is a multi-agent LLM tutoring system with centralized learner modeling.”

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“The paper surveys the progression from code foundation models to agent-based systems.”

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“The article likely provides details on how Confluent's Streaming Agents and Weaviate work together to achieve this real-time capability.”

“We’re taking first steps toward agentic commerce in ChatGPT with new ways for people, AI agents, and businesses to shop together.”

“Gemini Robotics 1.5 brings AI agents into the physical world.”

“Learn how Genspark built a $36M ARR AI product in 45 days—with no-code agents powered by GPT-4.1 and OpenAI Realtime API.”

“The idea is to let your coding agent both code and evaluate if what it did was correct.”

“The framework uses pure vision instead of error prone "set-of-marks" system, uses tiny VLM (Moondream) instead of OpenAI/Anthropic, and uses two agents: one for planning and adapting test cases and one for executing them quickly and consistently.”

“Exploring the main components of Single- and Multi-Agents”

“Think Pytest for LLMs.”

“Victor shares insights into emerging design patterns for autonomous multi-agent systems, including graph and message-driven architectures, the advantages of the “actor model” pattern as implemented in Microsoft’s AutoGen, and guidance on how users should approach the ”build vs. buy” decision when working with AI agent frameworks.”

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“The primary mission is to enable people with a layperson understanding of AI to be able to use AI with little to no setup for either themselves, their jobs, or just to try out using AI as an assistant but with *privacy by default*.”

“Sherry draws the analogy between natural language as a unified representation of information and text prediction as a common task interface and demonstrates how video as a medium and generative video as a task exhibit similar properties.”

“We discuss the challenges of adding private data to language models and how Llama Index connects the two for better decision-making.”

“DARPA has suggested that it is time for a third wave in AI, one that would be characterized by hybrid models – models that combine knowledge-based approaches with data-driven machine learning techniques.”