MCP vs Skills vs Subagents: When Each One Wins

by Mayank Bohra — Stop installing MCP servers for everything. After shipping all three in production, here’s the decision framework that saved 60k context…

Towards AI·1h ago

What Are AI Agents? The Beginner’s Guide to Autonomous AI — Prompt to Profit · Day 8 of 30

by Faheem Munshi — You’ve mastered prompting. Now meet the technology that takes those prompts and runs entire workflows — while you focus on everything else.Welcome to Week 2. Last week, you learned to write prompts...

Towards AI·3h ago

Evaluating Deep Agents using LangSmith on AWS

This post combines learnings from LangChain’s work on evaluating deep agents and Anthropic’s guide to demystifying evals for AI agents into a practical guide. In this post, you will learn how to: 1)...

AWS ML Blog·21h ago

The Infrastructure Behind Making Local LLM Agents Actually Useful

by Hussen Mohammed Ibrahim — Lessons from building a fast, reliable scientific agent with local open-weight models, vLLM, and long-context infrastructure The post The Infrastructure Behind Making Local LLM Agents Actually Useful...

Towards Data Science·1d ago

How to Effectively Run Many Claude Code Sessions in Parallel

by Eivind Kjosbakken — Keep an overview of all your coding agents that run in parallel The post How to Effectively Run Many Claude Code Sessions in Parallel appeared first on Towards Data Science.

Towards Data Science·2d ago

Warp’s big bet on building open source with GPT-5.5

Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.

OpenAI·2d ago

Cognition’s Scott Wu says AI coding agents shouldn’t replace humans

Cognition makes Devin, the first and arguably most successful AI coding agent. But famed coder Wu says it isn't designed to supplant human programmers.

TechCrunch AI·2h ago

openclaw 2026.5.28-beta.2

2026.5.28 Highlights Agent and Codex runtime recovery is steadier: subagents keep cwd/workspace separation, hook context stays prompt-local, session locks release on timeout abort, stale restart...

OpenClaw Releases·6h ago

Fed up with vibe coders, dev sneaks data-nuking prompt injection into their code

Undisclosed addition in jqwik instructed AI coding agents to delete app output.

Ars Technica AI·21h ago

Google Pay preps for AI agents with Universal Commerce Protocol

Google Pay is overhauling its payment infrastructure for an impending wave of transactions from AI agents. The latest updates introduce the Universal Commerce Protocol and a new server architecture,...

AI News·1d ago

AI Factories: The New Infrastructure of Intelligence

AI factories are token factories, converting power into intelligence in real time. And as agentic AI scales and autonomous, always-on special agents are deployed in the enterprise, performance per...

NVIDIA·2d ago

Millions of AI agents imperiled by critical vulnerability in open source package

"BadHost" was found in Starlette, a package with 325 million weekly downloads.

Ars Technica AI·2d ago

Building a Production Multi-Agent Content Pipeline With N8N and OpenRouter: Five Agents, Five…

by Alex Ashcroft — Building a Production Multi-Agent Content Pipeline With N8N and OpenRouter: Five Agents, Five LessonsMulti-agent systems break in interesting ways. After running 100,000 words through five chained...

Towards AI·2h ago

Robinhood’s Agentic AI And Trump Accounts Shift Growth And Risk Profile

Yahoo Finance·12h ago

Sesame, the conversational AI startup from Oculus founders, launches its iOS app

Sesame’s new iOS app brings its conversational AI agents to the public, offering more natural back-and-forth interactions designed to feel less like traditional chatbots and more like talking to a...

TechCrunch AI·1d ago

NVIDIA Releases Polar, a Token-Faithful Rollout Framework for GRPO Training Across Codex, Claude Code, and Qwen Code

NVIDIA researchers have introduced Polar, a rollout framework that trains language agents using reinforcement learning without modifying their agent harnesses. Polar places a model API proxy between...

Marktechpost·2d ago

Most AI Agents Fail in Production Because They’re Built Backwards

by Benjamin Nweke — Good models don't save bad architecture, and most teams learn that the hard way. The post Most AI Agents Fail in Production Because They’re Built Backwards appeared first on Towards Data Science.

Towards Data Science·2d ago

AgentWatch: Proactive AWS monitoring with ambient agents

In this post, we demonstrate the capabilities of AgentWatch through practical implementation. You will see how the solution performs infrastructure checks every 15 minutes, summarizing CloudWatch...

AWS ML Blog·3d ago