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

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

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

Two platforms, two philosophies. Here is how Anthropic and OpenAI compare on APIs, SDKs, documentation, pricing, and the actual experience of building with each.

Convex and Supabase both work for AI-powered apps. Here is when to use each, based on building production apps with both.

MCP servers and function calling both let AI tools interact with external systems. They solve different problems. Here is when to reach for each.

The TypeScript patterns that show up in every AI project. Streaming responses, type-safe tool definitions, structured output, retry logic, and more.

Anthropic's computer use feature lets Claude see your screen, move the cursor, click, and type. Here is how it works, when to use it, and how to set it up.
One command, zero config. DD Traces is a local-first OpenTelemetry viewer for developers who use AI coding tools and want to see what happened.

A step-by-step guide to building Model Context Protocol servers in TypeScript. Project setup, tool registration, resources, testing with Claude Code, and production patterns.

Transformers.js lets you run machine learning models in the browser with zero backend. Here is how to use it for text generation, speech recognition, image classification, and semantic search.

How RAG works, why it matters, and how to implement it in TypeScript. The technique that lets AI models use your data without fine-tuning.
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