Insights, tutorials, and best practices for AI-powered development
There's an MCP server for everything now. GitHub, Stripe, Postgres, Figma, you name it. But almost everything written about MCP is about consuming these big public servers, and I think the real win is much closer to home: a small private server that wraps your own team's internal stuff. Let's build one.
Stacked PRs are a way of breaking one big change into a chain of small pull requests that each get reviewed on their own. They've been standard at bigger companies for years, and GitHub has just opened its native version up to everyone. Let's dive into how they work, and what to use.
Discover the eight most common mistakes AI coding agents make when writing code. Learn how to spot recurring errors, review AI-generated code effectively, and prevent costly issues before they reach production.
If you've spent any time building with LLMs (or just following along), you'll have come across prompt engineering. Context engineering is the term that's been replacing it, and once you understand what it covers, you'll see why. Let's dive in.
Choosing the most powerful AI model isn't always the best strategy. Learn how to match coding tasks to the right model, reduce costs, improve efficiency, and know when a frontier model is truly worth using.
Learn how to create reusable AI coding agent skills with SKILL.md files. Discover how skills help your agent apply the right instructions automatically, reduce repetitive prompts, and improve consistency across development tasks.