AI

9 min read

Cloudflare Flagship is feature flags built for AI: model swaps, agent gates, and prompt rollouts as first-class primitives. Here is how to use it without rebuilding your control plane.

10 min read

A hands-on developer guide to Mercury 2 from Inception Labs. OpenAI-compatible API, reasoning levels, tool use, structured outputs, and when a diffusion LLM beats an autoregressive one in real apps.

10 min read

SAM 3.1 finally hits the latency budget for realtime video. Here is how to wire Meta's new segmentation model into a production pipeline without melting your GPU.

12 min read

Vercel just declared the agent stack: AI Gateway, Sandbox, Flags, and Microfrontends. Here is how the four primitives compose, with code, and where each one actually fits in a real product.

9 min read

A repo-root DESIGN.md gives Claude Code, Codex, and other agents the design rules they need to honor so generated UI does not drift into generic territory.

7 min read

Alibaba's newest Qwen release claims flagship-level coding in a 27B dense model. Here is why dense matters, where it fits against the 480B MoE coder, and what it unlocks for local inference.

8 min read

From Claude Code to Gladia, the ten CLIs every AI-native developer should know. Install commands, trade-offs, and when to reach for each.

9 min read

One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.

12 min read

CLAUDE.md is the highest-leverage file in any Claude Code project. Here's what goes in one, what doesn't, and the patterns that actually ship.

11 min read

Skills are how you stop copy-pasting the same workflow into Claude Code every session. What they are, how to write one, and where to find hundreds ready to use. Fact-checked against Anthropic's docs.

15 min read

Claude Code is Anthropic's AI coding agent for your terminal. What it does, how it works, how it compares to Cursor and Codex, and how to ship your first feature with it. Fact-checked against official docs.

12 min read

MCP isn't just a plugin format - it's a full JSON-RPC protocol for connecting LLMs to tools, resources, and prompts. Here's how it works under the hood, sourced from the official spec.