Welcome to this edition of Ctrl+Alt+Deploy 🚀
I’m Lauro Müller and super happy to have you around 🙂 Let’s dive in right away!
Hello there 👋 In the same mood of making our interactions with AI more effective, this edition dives deeper into which kinds of prompt engineering techniques we can observe and learn from the recent GPT-5 Codex release. The same way that we often look at the source code of libraries and packages we use to better understand how they work (and possibly to learn from them?), we can also take a peek under the hood of Codex's CLI application and dive a bit deeper into how its system prompt is structured.
As you read through this, which pattern or lesson do you find most useful? Which one are you itching to try out? Is there any technique that you love but it's not mentioned here? Let me know by replying to this email, I love your input and read your replies 🙂
With that said, let's dive in! ✨
Did you know?
I’ve recently launched a comprehensive course on Prompt Engineering (yes, we do cover all the topics we discuss here in this newsletter, and much more!) Make sure to check the link below for a big discount!
In the course, we explore a comprehensive set of prompt engineering patterns and techniques, from fundamentals like Few-Shot and Chain-of-Thought to advanced strategies like Self-Critique and Decomposition. It’s designed to be a complete guide that takes you from basic understanding to being able to tackle many challenging tasks with the help of effective prompts!