[lopatin]

At work, I have the same difficulty using AI as you. When working on deep Jiras that require a lot of domain knowledge, bespoke testing tools, but maybe just a few lines of actual code changes across a vast codebase, I have not been able to use it effectively.

For personal projects on the other hand, it has expedited me what? 10x, 30x? It's not measurable. My output has been so much more than what would have been possible earlier, that there is no benchmark because these level of projects would not have been getting completed in the first place.

Back to using at work: I think it's a skill issue. Both on my end and yours. We haven't found a way to encode our domain knowledge into AI and transcend into orchestrators of that AI.

[nikita2206]

> deep Jiras that require a lot of domain knowledge, bespoke testing tools, but maybe just a few lines of actual code changes

How do new hires onboard? Do you spend days of your own time guiding them in person, do they just figure things out on their own after a few quarters of working on small tickets, or are things documented? Basically AI, when working on a codebase, has the same level of context that a new hire would have, so if you want them to get started faster then provide them with ample documentation.

[lopatin]

> Do you spend days of your own time guiding them in person, do they just figure things out on their own after a few quarters of working on small tickets

It is this rather than docs. I think you're absolutely right about our lack of documentation handicapping AI agents.