AI — Page 33
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.
Why Vertical AI Is an Org Problem, Not a Model Problem
Chris Lovejoy's oracle-evaluator-architect framework reframes vertical AI failure as an organizational design problem. Here's what that means in practice.
Green Tests, Broken Apps: The AI Testing Trap
Green Tests, Broken Apps: The AI Testing Trap
AI writes tests that confirm code behavior, not user experience. Marlene Mhangami shows how Playwright flips the script—and why it matters for security.
Claude Code Agentic OS: Skills Beat Dashboards
Claude Code Agentic OS: Skills Beat Dashboards
The flashy Claude Code dashboards get the clicks, but the real value lives in a skill and automation backbone most users never build. Here's what that actually means.
Claude's /goal Command Is Automating SEO—Who's Watching?
Claude's /goal Command Is Automating SEO—Who's Watching?
Claude Code's new /goal command lets AI run SEO pipelines autonomously. The tech works. The regulatory and disclosure questions nobody's asking are more interesting.
Anthropic's New Claude Credit System: What Devs Need to Know
Anthropic's New Claude Credit System: What Devs Need to Know
Anthropic's new programmatic credit system for Claude subs draws a hard line for developers. Here's what it actually means for your workflow and wallet.
Who Really Owns the AI Agent Implementation Layer?
Who Really Owns the AI Agent Implementation Layer?
AI agents are creating a trillion-dollar implementation battleground. Here's why frontier labs, PE firms, consultancies, and SaaS giants are all converging on the same turf.
3 Advanced AI Agent Memory Patterns Explained
3 Advanced AI Agent Memory Patterns Explained
Google's Annie Wang demos callbacks, custom tools, and multimodal memory—three advanced patterns that could finally fix AI agents' persistent memory problem.
Your AI Usage Is Being Ranked. Here's What That Means
Your AI Usage Is Being Ranked. Here's What That Means
Companies are ranking employees by AI token consumption. Before you accept that as normal, ask who sees that data—and what happens to the people near the bottom.
OpenAI Images 2.0: What Changed and Why It Matters
OpenAI Images 2.0: What Changed and Why It Matters
OpenAI's Images 2.0 is generating 1.5B images a week. Here's what the team says changed, what's still open, and what users are actually doing with it.
Building Secure AI Agents With Bigtable and ADK
Building Secure AI Agents With Bigtable and ADK
Google's Bora Beran demos a healthcare AI agent built on Bigtable and ADK—and the security layers that make it worth taking seriously.
AI's Speed Problem: Hacks, Lawsuits, and Your Attack Surface
AI's Speed Problem: Hacks, Lawsuits, and Your Attack Surface
Google's zero-day warning, the OpenAI lawsuit pressure cooker, and why AI's speed makes old security hygiene dangerously obsolete.
Ruflo Turns Claude Into an Agent Swarm. Here's the Reality
Ruflo Turns Claude Into an Agent Swarm. Here's the Reality
Ruflo promises to turn Claude into a 100-agent autonomous swarm. We break down what the demo actually shows—and what it quietly skips over.
LLMjacking: When Hackers Steal Your AI API Keys
LLMjacking: When Hackers Steal Your AI API Keys
Hackers are stealing AI API keys and running up massive bills—one startup went from $180/month to $82K in 48 hours. Here's what's actually happening.
When Your AI Has No Provider: Local Models and the Regulation Gap
When Your AI Has No Provider: Local Models and the Regulation Gap
When AI runs locally with no cloud provider, every regulatory framework built around platform accountability stops working. That's the real story here.
Inside Matt Wolfe's AI Creator Operation
Inside Matt Wolfe's AI Creator Operation
Matt Wolfe breaks down the real costs, team structure, and AI workflows behind one of YouTube's biggest AI channels. The numbers are surprising.
How Magnus Carlsen's App Taught AI to Explain Chess
How Magnus Carlsen's App Taught AI to Explain Chess
Play Magnus engineers reveal how they built an AI chess coach by keeping LLMs in their lane—translating insights, not generating them. Here's what that means for AI apps.
Thinking Machines Wants AI That Actually Listens
Thinking Machines Wants AI That Actually Listens
Thinking Machines Lab's "interaction models" rethink how AI handles real-time conversation. Plus: DeployCo's launch and the gray-market stock mess.
Claude Skills Are Quietly Wrecking Your Workflow
Claude Skills Are Quietly Wrecking Your Workflow
More Claude Code skills isn't better—it's slower, messier, and riskier. Here's what actually goes wrong and how to fix it.
When Your AI Agent Acts Without Asking You First
When Your AI Agent Acts Without Asking You First
Browser Use founder Magnus Müller says the real barrier to AI agents isn't technical—it's the interface. And the agent that prompts *you* might be the future.
Meta AI's Hidden Features Reveal a Platform Strategy
Meta AI's Hidden Features Reveal a Platform Strategy
Meta AI's chat modes, multi-agent reasoning, and social search reveal a platform strategy that goes well beyond a chatbot. Here's what's actually being built.