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Notion’s new developer platform lets teams connect AI agents, external data sources, and custom code directly into their workspace as the company pushes deeper into agentic productivity software.
Apple’s big developer conference, WWDC, is only weeks away. And a new report indicates that an announcement might be coming regarding Apple’s efforts to better incorporate AI agents into the App Store. more…
Red Hat believes giving users access to agent skills will be AI’s next inflection point. At the Red Hat Summit The post Red Hat’s skill packs give AI agents something a bigger model never could: 20 years of institutional memory appeared first on The New Stack.
A 12-metric evaluation framework for production AI agents — covering retrieval, generation, agent behavior, and production health. Drawn from 100+ enterprise deployments. The post Building an Evaluation Harness for Production AI Agents: A 12-Metric Framework From 100+ Deployments appeared first on T
AWS announced that Amazon WorkSpaces can now serve as managed virtual desktops for AI agents in public preview. Agents authenticate through IAM and operate legacy applications via computer vision and input simulation without APIs. Reflex benchmarks show vision agents consume 45x more tokens than API
The software stack that powers enterprise applications was built for humans. It assumes human-speed interaction, human-managed credentials, and human oversight The post Jensen Huang and Bill McDermott bet on OpenShell to secure enterprise AI agents appeared first on The New Stack.
When I recently talked to Kin Lane, API evangelist and co-founder of Naftiko, I was repeatedly struck by the parallels The post The API portal is the clearest signal of whether your company can handle AI agents appeared first on The New Stack.
Laserfiche has announced the release of AI agents that can help perform tasks through natural language prompts. Intelligent assistants follow Laserfiche’s integrated security rules and compliance requirements, helping ensure all sensitive data remains protected. Karl Chan, CEO of Laserfiche, said, “
AI Agents Are Replacing Scripts AI Agents Are Replacing Scripts, and honestly, it’s about time. Every developer has that folder full of tiny Bash, Python, or Node scripts that “just work” until an API changes, a token expires, or the workflow needs one more condition. In 2026, MCP is turning those b
GitLab is cutting jobs to redirect resources towards the growing market for AI agents, aiming to capitalize on emerging "agentic" opportunities. The company plans to reduce management layers and reorganise R&D teams, integrating AI agents to automate internal workflows and improve efficiency. While
USDC issuer Circle launched a suite of tools designed to let AI agents hold money, pay for services, and transact without human involvement.
Shawn Bice, who left AWS for Microsoft's security organization in 2022, is returning to Amazon as VP of AI Services to lead the Automated Reasoning Group under Swami Sivasubramanian's Agentic AI organization. Read More
A doctor in a hospital exam room watches as a medical transcription agent updates electronic health records, prompts prescription options, and surfaces patient history in real time. A computer vision agent on a manufacturing line is running quality control at speeds no human inspector can match. Bot
Two years ago, most conversations about LLM guardrails were about content filtering, stopping a chatbot from saying something offensive. That was a real problem, but a small one. The model produced text. The text was either safe or unsafe. A classifier could usually tell. In 2026, the problem has co
Tyler Cadwell runs a small Arizona business called Everything Etched. He sells custom-engraved glassware on Etsy and Shopify. When he wants to brainstorm or build something new, he drives his Ford Bronco out into the canyons around Flagstaff and Tucson with a Mac mini in the passenger seat. The desk
Quick Answer: Context engineering is the practice of designing the right information, tools, and structure around an AI agent so it produces reliable, high-quality output. Unlike prompt engineering (optimizing what you ask), context engineering optimizes the conditions under which the agent works. S
AI agents need “food,” and that food is not physical food; it is tokens, said Jordi Visser.
The missing coordination primitive. New research (AgenticFlict, arXiv 2604.03551) confirms what a lot of teams are learning the hard way: AI-generated PRs are producing a measurable new class of merge conflicts. The agents have no concept of each other's intent. "What are you working on?" is not a q
Most multi-agent setups I've seen are basically a room full of people wearing headphones. Agents running in parallel, no shared awareness, no idea who's doing what. That's not collaboration. That's coexistence. I've been building this in public for almost 12 weeks. 12 agents, 6,500+ tests, 95 stars.
Every agent developer hits the same wall. The demo works. Then it goes to production — and the cracks show up fast. No retry logic when APIs fail. Identical queries hammering your LLM endpoint over and over. No visibility into what's actually happening. And before long, you're writing the same cache
