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Make AI Do Sh*t.

No fluff. Just deep dives into tool-calling and agent auth to make your AI actually useful.

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THOUGHT LEADERSHIP

5 Takeaways from the 2026 State of AI Agents Report

AI agents have moved quickly from experimentation to real-world deployment. Over the past year, organizations have gone from asking whether agents work to figuring out how to deploy enterprise AI agents reliably at scale. The 2026 State of AI Agents Report from the Claude team captures this shift clearly. Drawing on insights from teams building with modern LLM agents—including those powered by models from providers like Anthropic—the report offers a grounded view of how agentic systems are bein

THOUGHT LEADERSHIP

What It’s Actually Like to Use Docker Sandboxes with Claude Code

We spend a lot of time thinking about how to safely give AI agents access to real systems. Some of that is personal curiosity, and some of it comes from the work we do at Arcade building agent infrastructure—especially the parts that tend to break once you move past toy demos. So when Docker released Docker Sandboxes, which let AI coding agents run inside an isolated container instead of directly on your laptop, we wanted to try it for real. Not as a demo, but on an actual codebase, doing the k

THOUGHT LEADERSHIP

Docker Sandboxes Are a Meaningful Step Toward Safer Coding Agents — Here’s What Still Matters

Docker recently announced Docker Sandboxes, a lightweight, containerized environment designed to let coding agents work with your project files without exposing your entire machine. It’s a thoughtful addition to the ecosystem and a clear sign that agent tooling is maturing. Sandboxing helps solve an important problem: agents need room to operate. They install packages, run code, and modify files — and giving them that freedom without exposing your laptop makes everyone sleep a little better. B

THOUGHT LEADERSHIP

Build on the Bubble: Why foundation model instability is the best thing that ever happened to enterprise AI

Right now, somewhere in San Francisco, a foundation model company is losing money serving your API call. OpenAI spent $8.67 billion on inference in the first nine months of 2025—nearly double their revenue for the same period. Sam Altman publicly admitted they lose money on $200-per-month ChatGPT Pro subscriptions. Anthropic burns 70% of every dollar they bring in. These companies are pricing their products below cost, subsidized by the largest concentration of venture capital in technology his

COMPANY NEWS

Your MCP Client Just Got Superpowers: Arcade Tools are now in Cursor, VS Code, and more

If you've been using Cursor, Claude Desktop*, VS Code, or any MCP-compatible client, you've probably experienced the same frustration: your agent is brilliant at reasoning through workflows, but the moment it needs to actually do something across your tools, you're back to juggling configurations for each individual tool, debugging auth flows, and troubleshooting why the setup that worked yesterday doesn't work today. Those days are over. With the launch of Arcade MCP Gateways, your MCP client

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THOUGHT LEADERSHIP

Agent Skills vs Tools: What Actually Matters

The agent ecosystem has a terminology problem that masks a real architectural choice. "Tools" and "skills" get used interchangeably in marketing decks and conference talks, but they represent fundamentally different approaches to extending agent capabilities. Understanding this distinction is the difference between building agents that work in demos versus agents that work in production. But here's the uncomfortable truth that gets lost in the semantic debates: from the agent's perspective, it'
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