I find that we dont need to go all in. I can use LLMs to make tooling custom to my project: linters, skills, rules, some doc etc. Then iteratively improve on that.

For example, write a skill that finds some kind of code smell, say duplication, and generate a report. Give it some supporting scripts.

Then, use this report to file a few tickets. Then make the agent fix those tickets. Then, as you grow confident, automate more of this process.

It does not replace human supervision but it may enhance it. Especially in a team where people start generating PRs faster that anyone can review them.

Continue this improvement process long enough and you may find yourself with an AI Software Factory.