I measured my output:

- 1.5x more commits. - 2x more issues closed.

The commits are real. I'm not doing "vibe coding" or even agentic coding. I'm doing turn-by-turn where I micromanage the LLM, give specific implementation instructions, and then read and run the output before committing the code.

I'm more than happy with 2x issues closed. For my client work it means my wildly optimistic programmer estimates are almost accurate now.

I did have a frustrating period where a client was generating specs using ChatGPT. I was simply honest: "I have no idea what this nonsense means, let's meet to discuss the new requirements." That worked.