Respectfully, unless someone is really really bad at articulating what the quality standards are or works with a very niche stack that is definitely not the case anymore with SOTA models

TL;DR — there’s a whole lot of craft in how you use agents

I think that’s mostly true, but also I think there is some skill to using agents well. Specifically, work with agents to get a really good product requirements document, then task it out into very narrow user stories / vertical slices (this takes some iterating—the AI really seems to want to think in horizontal layers today), then maybe walk through the code interfaces to be super sure you are aligned. At each step, I make the agent interrogate me thoroughly with every question it can think of, and even if we stop now we will have a system design and tickets that are much higher quality than me thinking alone. I could hand those off to anyone to implement, but I think having an agent TDD their way through the code is the sweet spot.

Whenever the agent is doing something I don’t like (e.g., some coding style thing), I pause and have another agent help me write a style guide that agents must read. This slows me down at first but I think it will pay off in time.

In my experience, it sure saves time. a lot of quality has significant mechanical components LLMs do great. Hey, this series of 300 functional tests are reusing the same few patterns without helper methods clarifying intent. Give me an overview of possible meaningful methods that would simplify the duplication. Ok, 2, 4 and 5 are good, but rename 2 to X, and change the order of parameters in 5. Implement across the tests, and make sure it all passes.

Still very significant savings over all that rather mechanical work. It's ultimately cheaper than doing a code review, and it's faster, because there's less need to manage the emotional state of the person whose code is being reviewed. Maybe I am a slow developer or something, but I am getting a lot of quality changes like that done that before I'd not have, solely because of time spent.

And not increasing the quality just causes problems anyway. Given the same quality, more changes mean more outages than before, just by probability. Increasing rate of change demands a similar increase in quality if you don't want your production support costs to go up. So spending at least a bit of time on quality, letting the LLM do the nagging little things that before you didn't do beause they they took too long and were not a core part of quarterly goals is basically mandatory.

It saves so much time! Think of the best find and replace and autocomplete and macro and every other possible super tool you use and roll everything into one. The design phase of any significant feature pales in comparison to all of the (now fully automated) tasks that you can just hand off to the agent to do nearly instantly and perfectly.

IMO it still does save time generally but it’s not as much of a huge gain if you’re doing this.

I will admit there are occasional times after iterating so much I’m not sure if I’ve even saved time because going from “it works” to “it’s up to quality” takes so long

It still is if agent brings it up to quality fast .

And yea usually does for me

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