I don't care to build a ledger or build an ETL system. I don't care to spend my time debugging IaC terraform systems. GPT allowed me to focus on the core functionality of my code instead of investing hours of my time on ancillary support systems that are well understood. Terraform is notoriously difficult even for the most skilled among us. It helped me manage and tune my Cloud Tasks queue for processing from the microservice scraping data into the main app.

The cool thing is that I was able to let an agent manage this while I did the human task of steering it to work. Some of this work is novel, yet much of this work includes well-understood software patterns, such as scatter-gather and so on.

I absolutely do not enjoy using JavaScript or TypeScript at all. So it was a huge relief when I was able to get AI to help with UI work on Next.js and React Native/Expo.

I've gotten it to help with a cross-cloud cross-region setup on Terraform with shared secrets on AWS and GCP with GHA workflows for sandbox, staging, and prod promotion deployments. And I have no background as a DevOps guy.

Again, it didn't propose the exact shape of my system design. But chatting with it really allowed me to form the shape. It really is a bicycle for your brain. It helped me look at the tradeoffs of different products (PubSub vs Cloud Tasks, or AWS equivalents).

If there's one thing I learned from engineering and confirmed by my years in software development. It's easy to make something that work, but it's way harder to put guaranties on it. That's why copy-paste from Stack Overflow was a real strategy.