AI Agents
Agentic systems, orchestration, MCP and autonomous tooling.
Beyond the Human Barrier: How New Payment Rails are Enabling the Autonomous Agent Economy
An analysis of the emerging financial infrastructure, identity protocols, and competitive landscape enabling autonomous AI agent commerce.
The Best in Scaling: Real Signals from the Foundation and Scale Stages
Founders and investors at TechCrunch Founder Summit 2026 revealed that real scaling isn’t about growth hacks—it’s about building agentic data platforms that make AI reliable.
MCP's Great Overhaul: Stateless Future, Deprecated Features, and the Slog Ahead for Homebrew Implementers
The Model Context Protocol (MCP) is undergoing its most significant revision since launch, ditching protocol-level sessions in favor of a stateless architecture. This article covers the key changes, deprecated features, and implications for developers.
The 2030 IT Ops Forecast: Prepare for Chaos Before the Automation Payoff
An examination of Gartner's 2030 vision for IT Operations, detailing the expected shift to AI-driven automation, the looming challenge of console sprawl, and the critical need for robust governance frameworks.
Simplifying Enterprise AI Scaling: The Shift to Stateless MCP
A technical overview of the Model Context Protocol's transition to a stateless architecture, aimed at developers and enterprise IT, focusing on improved scalability for cloud-based AI deployments.
Engineering Trust: Why Agentic Data Platforms Need Data Observability Beyond the Context Layer
In this article, we challenge the pervasive notion that AI agent hallucinations are purely a model or context-layer issue. Instead, we argue that the root cause lies in fragile data engineering pipelines, proposing a rigorous data observability framework to ensure reliability in agentic data platforms.
Character.AI's Microdrama Gamble: Why Interactive Storytelling Changes Everything
Character.AI is betting big on interactive microdramas with three launch titles that let users chat with and roleplay alongside AI characters. Here's what this means for the future of entertainment—and why the creator tools roadmap matters more than you think.
Why Shipping Agents to Production Breaks Everything You Know About AI Deployment
Explains why deploying AI agents to production is not merely an escalated version of chatbot deployment, but demands unique engineering disciplines including orchestration, memory management, runtime isolation, and specialized observability.
Zoom’s Zero-Click Windows Flaw Lets Attackers Hijack AI Agents Without a Single Click
A critical vulnerability in Zoom’s Windows client and SDK enables unauthenticated remote code execution via malicious .ZAP files — turning enterprise video conferencing into a vector for AI agent compromise.
Neverclick's Agentic Labs Approach to Mouse-Free Computing Works Everywhere
Built by an RSI sufferer, Neverclick uses a lightweight local computer-vision model to detect UI elements and perform mouse actions from the keyboard — no accessibility APIs, no cloud AI, works in every Windows app.
The On-Device AI Revolution: How Operating Systems Are Becoming Intelligent Agents
A structural shift is underway as major technology companies integrate AI directly into mobile operating systems, changing user interaction models and raising new security challenges.
Beyond Automation: Securing the Forgotten Lifecycle of AI Agents
As enterprise AI adoption surges, the rapid, often clandestine deployment of AI agents challenges traditional security architectures. This article explores the imperative for robust lifecycle management—from automated provisioning to secure decommissioning—to mitigate the risks of unmonitored shadow AI.