How I built an agent that works at Amazon while I sleep (10 steps)

Stop manual prompting. Build autonomous AI agents to handle tickets, code, and reviews while you focus on design. A 10-step guide.

Most engineers only chat with AI. They treat LLMs like a smarter search engine or a junior developer they have to micromanage. A better Google.

They are operators, not designers. They spend their days copy-pasting context, refining prompts, and reviewing code line by line. This approach hits a ceiling quickly. You can only type so fast. This is not so different from the era of pasting the code snippets to an AI chat in a web browser and copying back the results to code. We have now AI in the IDE and terminal, but we keep using it in the same way.

The real goal is moving from manual prompts to a fully autonomous companion agent that runs in the background.

My journey, like most people who automate anything, started with frustration. I was manually fixing boring tickets and operating the system. I realized I needed to shift my role. Instead of being the one doing the work, I had to design the systems that do the work. But of course, my manager expected the work to get done, so I couldn’t …