After writing a couple of prompts to get a feature done with an LLM or a coding Agent like Claude Code (or Cursor), have you felt like there should be a more declarative way of doing this than taking turns with prompts? Instead of throwing prompts at a coding Agent, herding it/them to do the right job, and getting frustrated, wouldn’t it be better to have a plan of tasks to follow? This is where Spec Driven development comes into the picture, and how AWS Kiro IDE can be used to add a new feature without prompting too many times, so the LLM doesn't stray from the main task. In this post, you will see a practical example of how to use Spec-driven development with AWS Kiro to add the last updated date to this Eleventy blog. Let’s get started!

With AI doing some or most of the code writing (ahm! generation, if I may), being strong in the basics becomes even more crucial. If you have the word "engineer" in your job title, then knowing tools like Git and Docker has become inevitable. In this post, you will learn about the three main Git branching strategies and which one your team should choose for continuous delivery. This post will also cover real-life experiences and recommend a Git branching strategy that has proven more effective for the teams I've been a part of. Let’s get started!

Docker has been the de facto containerization ecosystem for more than a decade now. It recently added a model runner that runs many open models locally via a docker model command. In this post, you will learn how to use the Docker model runner to run smoll2 locally and interact with it. Let’s get started!