While AI tools like GitHub Copilot are revolutionizing software development, they’re not replacing developers—they’re amplifying them. Learn why companies that think they can eliminate developers are making a costly mistake, and how the smartest organizations are using AI to make their teams faster and more effective than ever. And learn how you and AI will be working together to create even more value.

Ready to finish crafting your CodeQL Actions runner image? Following up on my previous post, it’s time to add Python 2 support to the Docker image. You’ll add to the multistage build, learn how to preserve symbolic links, and learn a trick for unpacking archives without needing to copy the archive into the image first.

Have you struggled with running CodeQL analysis on your own runners? You’re not alone. I figured that it was probably time to tackle this challenge to show you how to build the image, a few advanced Docker tricks, and a way to incorporate the scripts that the Actions team uses to build the official hosted runner VM images.

Buildroot comes with a lot of great features, but what good is a custom image if you can’t add your own binaries? In this post, I’ll show you how to create a custom Buildroot package that uses a pre-compiled binary. I’ll walk you through the steps to create a package for the GitHub CLI, including how to configure it, define its dependencies, and how to install the package into your custom image.

None of us like to wait. Time is precious, so we want to make the most of it. Unfortunately, if you’re just getting started with Buildroot it may seem like you’re spending a lot of time waiting for a toolchain to compile. In this post, we’ll look at ways to avoid that problem. Discover three easy ways to speed up your builds and spend more time creating, not waiting.