This time, I’m excited to share something practical: an open source repo with the templates and playbooks I use to drive my AI-coding workflows:
👉 github.com/DamiMartinez/ai-dev-workflow-templates

This is a continuation (Part 2) of my previous post: My New Development Workflow - I Don’t Write Code Anymore. In this article I want to share how I manage references and context sources to help my coding agents (Cursor, Gemini CLI, etc.) stay accurate and up-to-date.

Over the past few months, my workflow as a developer has changed completely.
I don’t really “write code” anymore — instead, I define tasks, let AI coding agents handle the implementation, and focus on reviewing and improving the results.

Over the past months, I’ve been working a lot on developing AI agents and experimenting with different tools. Here’s an overview of the main AI tools and resources I currently use on a daily basis.

I have been working with the Google Agent Development Kit (ADK) for the past couple of months. While it is a powerful framework, the documentation is limited and I had to solve several unexpected problems on my own.

Hello World!