Engineering
Anthropic shipped Claude Opus 4.7 on April 16. The headline numbers are real: 64.3% on SWE-bench Pro, 87.6% on SWE-bench Verified, 78% on OSWorld, and a 14% improvement on complex multi-step workflows with one-third fewer tool errors. If you're building agents in production, these numbers
Engineering
The npm ecosystem had left-pad. Python had the PyPI typosquatting wave. Docker Hub had cryptominers hiding in official-looking images. Every software supply chain eventually gets poisoned. AI agent skills just joined the list. By February 2026, Antiy CERT confirmed 1,184 malicious skills on ClawHub, the marketplace for the OpenClaw
AI Agents
This was the week AI agents stopped being software and started becoming economic actors, payroll administrators, and web citizens. The sheer range of what shipped in seven days tells you where 2026 is headed: not more chatbots, but more infrastructure for agents that actually do things in the real world.
Business
Every SMB owner I talk to is getting the same advice from the same people: "You need to use AI in your business." Great. Helpful. Now what? The gap between "I should probably hire an AI" and actually getting value out of one is wider than
Business
Until last week, AI agents were productivity tools. They could draft your emails, summarise your meetings, even file your expense reports. What they couldn't do was spend your money. That changed on April 8, when Visa launched Intelligent Commerce Connect — a platform that lets AI agents initiate purchases,
Future of Work
Workers with AI skills earn 56% more than their peers. That number comes from multiple sources — LinkedIn, Indeed, Burning Glass — and it has been the headline stat in every "upskill or die" article for the past six months. Recruiters cite it. Career coaches build courses around it. Job
Product
This release is a big one. Fifteen bug fixes, three new features, and a handful of UI improvements that collectively make Geta.Team feel noticeably sharper. Here is what shipped in v2.0.21. Employee Tags: Organize Your AI Team As teams scale their AI workforce beyond two or three
AI Agents
Somewhere between Q3 2025 and right now, enterprises collectively decided that AI agents were the answer to everything. The problem is, they deployed them the same way they deploy everything else: one agent per problem, no coordination, no governance, no plan for what happens when you have forty of them
AI Agents
ServiceNow just did something that most enterprise software companies have been afraid to do for the past two years. On April 9, the company announced that every single product in its portfolio is now AI-native — not AI-enabled, not AI-enhanced, not AI-optional. AI is baked into the core of every product,
AI Agents
The AI agent space just had one of its most consequential weeks of 2026. Between Microsoft finally shipping a unified agent framework, Anthropic weaponizing AI against cybersecurity vendors, and a record-shattering $300B venture quarter, the message is clear: agentic AI is no longer a roadmap slide. It is the product.
Industry News
HumanX 2026 ended yesterday. Three days, 6,500 attendees, 350+ speakers, and one of those post-conference moments where you realize the conversation moved further in 72 hours than it did in the previous 12 months. The conference produced three formal conclusions. Each one has practical implications for businesses deploying AI
Industry News
Two years ago, OpenAI owned enterprise AI. Fifty percent of all enterprise LLM API spending went to OpenAI. The rest was split among a handful of competitors who were mostly playing catch-up. That number is now 27%. Anthropic, the company behind Claude, has quietly captured 40% of enterprise LLM API