My Shift from Coding to AI Orchestration

Writing the actual code used to be the hardest and most rewarding part of my day. Now, my workflow is mostly reviewing PRs and chatting with Claude to get features implemented. I'm significantly more productive, but the "craftsmanship" aspect of software engineering is disappearing. I've basically transitioned from a builder to an editor, and it's leaving me questioning where my role is heading over the next few years.

I'm trying to figure out how to stay technically sharp when the AI handles the heavy lifting for every ticket. If you aren't grinding through the syntax and logic manually, it's easy to let those muscles atrophy.

I'm looking for a practical tutorial or a roadmap on how to evolve my skill set. Specifically, I'm wondering if I should be pivoting toward:

• System Architecture: Focusing on how components fit together rather than how the functions are written.
• Product Engineering: Moving closer to the "why" and "what" of the feature rather than the "how."
• LLM Agent Design: Learning how to build the very tools that are changing my job, focusing on prompt engineering and AI workflow optimization.

If anyone has a deep dive into how they've restructured their learning path to avoid becoming just a "prompt wrapper," I'm all ears. I want to ensure I'm building a career on a foundation of engineering principles, not just tool proficiency.