Earlier quoted context omitted.
I am an engineer. I hire other engineers. I run a company that ships usable software for small businesses. We do this every day. I'm sorry to say, we are indeed shipping in days what used to take weeks.
As a software engineer who also hires other software engineers, I’m curious about the disconnect in our experiences. I do systems programming. Before AI feature development roughly went like, design, implement, test, review with some back edges and a lot of time spent in test and review. AI has made the implementation part much faster, at the cost of even more time spent testing and reviewing, though still an improve…
It's glue, custom business workflows, and basic web CRUD stuff. We build almost everything on Rails unless there's a critical reason not to (e.g., maintaining an existing system versus building from scratch.)
With very few exceptions our team composition is one senior engineer paired to a business. So we get to avoid a large amount of SDLC busywork which is inter-team communication. This leaves more time for clientengineer communication which has a host of additional benefits. We also build with a "North Star" methodology which keeps everyone, including the client, laser focused on the work at hand.
To answer your final question about how we're benefiting so much from AI, I think it's primarily that we're leaning into it for both implementation, testing, and review. I know it's a sin to let AI review AI, but... it works. I'm actively skeptical of it myself, but our error rate and rework rates don't lie.
And we've got clients in various stages of development and/or long-term support. It's not like we're just hammering a bunch of stuff out and then bouncing. Most of these are multi-year tightly-integrated projects with our clients and we don't see a lack of trust or frustration that you'd expect to see if you were shipping slop. Our Honeybadger errors typically stay at zero, our performance metrics are acceptable across the board, and most importantly our clients love the work we're doing.
I can't think of any other way to measure the quality of what we're doing. And by those metrics, AI has made us better, not worse.
I should write a blog post to outline more of this in detail.