5,369 stories
Now available in Early Access for SAST within Checkmarx One, Checkmarx Fusion adds a new detection layer that advances vulnerability-finding accuracy beyond what rules-based scanning or an AI model can achieve alone.
The SurrealMCP server lets you add one URL to any AI tool, sign in with your Surreal ID, and deploy, query, and look after your SurrealDB Cloud account.
Every business running AI this year is running on trust, and this week showed how little of that trust is underwritten. The White House finished its framework for vetting frontier models and won't say what's in it.
#AgenticAI #AIEngineer #AIRoadmap2026 🔗 Join the WhatsApp Community https://chat.whatsapp.com/ENnDGZ41lMYBHCApJIpzo6?mode=gi_t This is to bring together serious and like-minded learners who want to learn AI, share useful resources, discuss ideas, and grow together.
Agent Optimization, now in beta in AgentControl, automatically searches for a better agent configuration against criteria you define.
How to use Zendesk for customer service in 2026: ticket statuses, views, triggers and automations, the Agent Workspace, and measuring it all in Explore.
We are approaching an inflection point. I believe that by 2027, AI will no longer be judged by the sophistication of its models, but whether it delivers tangible customer value, operational efficiency, and profitable growth.
Meltwater pricing explained with real numbers: $10k–$130k+ per year, actual contract data from 286 buyers, a public rate card, and the auto-renewal terms to check before signing.
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure.
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe.
How we let an AI agent write into a live collaborative document by making it an ordinary Yjs peer, and the things that turned out to be easy, hard, and surprising.
L'articolo Data Tables, JSON Condition V2 & Faster AI Workflows proviene da Tiledesk.
We’ve launched AppWizzy Projects MCP, creating a direct connection between AI coding agents and the AppWizzy project infrastructure. The post AppWizzy Launches Projects MCP for AI Coding Agents appeared first on AppWizzy Blog.
AI agents can now answer questions about your company's data in plain English — but on real enterprise schemas, even frontier models got roughly one answer in five right at launch.
Every agent system in production is a chain, a graph, or an event-driven collective — and most teams never chose. A taxonomy of the three architectures, the ceiling of each, and the story of a planner that died mid-thought.
Most AI tutorials show you a chatbot demo. This video shows you how that demo actually becomes a production system inside a bank — one component at a time, with the real engineering reasoning behind each addition. We start with 3 boxes: a chat UI, an agent, and an LLM.
Hemory 取自 Hear and Memory。不是会议语音转写，而是一个能记录所有对话、自动存成记忆的工具。通过 AI Agent 对话，回顾记忆并进行下一步的加工。
Hemory comes from Hear and Memory. Not meeting transcription — a tool that keeps every conversation as memory, to revisit and build on through your AI agent.
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