AI Agents

In July 2026, the autonomous attacker that broke into Hugging Face turned out to be an AI model its own maker was testing. It was not the only agent to go somewhere it should not this year. Here is the 2026 story in plain language, with a timeline of every major incident and an honest look at what can and cannot be fixed.

I audited 775,000 product records powering search for four B2B distributors. The consumer giants have already published how to fix catalogs like these with LLMs, but trade distribution hasn't picked up the playbook. Here it is, adapted for HVAC, plumbing, and electrical, with real costs.

By 2026, the real job in modern AI systems is not writing a clever prompt. It is deciding what the model sees, when it sees it, and how that context is structured, persisted, and turned into durable memory.

Nearly $1 trillion wiped from software stocks in a week. This is not a mass extinction—it's a cleansing fire. Here's the survival playbook for SaaS companies in the outcome economy.

SaaS is shifting from dashboards and clicks to personalized, voice-enabled AI agents that execute outcomes. In 2026, the winning software model is no longer seat-based access but measurable results delivered through conversation.

OpenClaw has exploded in popularity with over 114,000 GitHub stars in just two months. It represents a fundamental shift in how users interact with software - a direct challenge to the traditional SaaS model. While SaaS platforms became systems of record, users are now building their own intelligence layers on top.

Traditional SaaS is under siege from AI agents. The winners won't just add AI features—they'll become agentic workspaces that orchestrate autonomous outcomes. Here's why every SaaS company must make this transition now, and how to build the defensible moat that will define the next decade.

My journey with Cursor mirrors the maturation of the tool itself: from a simple agent to a sophisticated architectural partner. This post details how my workflow evolved through @ mentions, MCP, Plan Mode, and custom commands.

If 2024 was the year of AI experimentation, 2025 was the year of industrialization. The speculative boom around generative AI has rapidly matured into the fastest-scaling software category in history, with autonomous agents moving from the lab to the core of enterprise operations.

The enterprise AI landscape is at a critical juncture. We have powerful general-purpose models and a growing ecosystem of tools. But we are missing a crucial piece: a standardized, portable way to equip agents with the procedural knowledge and organizational context they need to perform real work.

The era of AI experimentation is over. What began as a speculative boom has rapidly industrialized into the fastest-scaling software category in history. Enterprise spending on generative AI skyrocketed to $37 billion in 2025, a stunning 3.2x increase from the previous year.

Anthropic has detailed its disruption of the first publicly reported cyber espionage campaign orchestrated by a sophisticated AI agent. The incident, attributed to state-sponsored group GTG-1002, signals that the age of autonomous, agentic AI threats is here. This post dissects the anatomy of the attack and explores how emerging standards like OpenID Connect for Agents (OIDC-A) provide a necessary path forward.

As AI assistants on platforms like Instagram, Facebook, and Booking.com become more autonomous, they need proper digital identities to securely act on our behalf. Learn how AI identity systems work and why they matter for consumer platforms.

While AWS's MCP Gateway solves operational challenges, production AI systems demand evolution from basic centralization to identity-aware security guardians that address the "lethal trifecta" of vulnerabilities in enterprise deployments.

Exploring the potential of AI agents in enterprise security and automation, and how they can enhance security operations.