Book: Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs

Also by me: Thinking in Go (2-book series) — Complete Guide to Go Programming + Hexagonal Architecture in Go

My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools

Me: xgabriel.com | GitHub

You have seen the screenshot. A LinkedIn post, two thousand

likes, the headline reading something like "Google found the

magic phrase that makes ChatGPT smarter." The phrase is

Take a deep breath and work on this problem step-by-step.

Someone on your team pastes it into the system prompt the

next morning. It sits there for a year. Nobody re-tests it.

Two model upgrades later, you have a line in production that

nobody can defend and nobody wants to be the person who

deletes.

This is what every prompt-engineering "trick" turns into if

you do not own an eval harness. The trick is real — until it

isn't. The model under it changes.…