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Yeah I don't know. Don't get me wrong, the article points makes sense. But sometimes I think that we're going to stay near this current point of productivity for a little while. Currently my org of 8 people use around 1000 euro worth of tokens per month. We've recently had a discussion near the water-cooler, that if the cost climbs 5x-10x it may be just more worth it to get more developers (we're EU based). While the…
I've built up a skill harness and review flow that makes Opus generate slop-free code 90% of the time. But the remaining 10% requires me to stay at the helm. Especially in the early stages.
I would love to use loops to automate more, but I couldn't do it with the current generation models.
And on the back of my mind I'm still evaluating the possible future where we are forced to API pricing. I'm currently paying $400 for Opus, and use around 1.5-2 billion tokens per day. This will cost around $20k/m with API pricing. And I don't want to even imagine the possible scenario of getting locked out of frontier models because of politics.
Will the models get better to cut me out of the loop completely? I believe so. Will the open source models catch up tho SOTA models, and diversify from China-only? I hope so. Otherwise 2 superpowers will wield a soft power that can cripple the tech industries of all other countries.
If the point of the software is benefit people, should I still care about how the code looks.
Right now, I still think that the answer is yes, but in 3 years? in 10 years?
Earlier quoted context omitted.
Are those your own thoughts? Or Claude's? I tried to read but had to stop a few paragraphs in because of Claude's annoying authorial voice.
No, they really are my thoughts, I've been doing this stuff pretty much every day for the past 6 months
https://github.com/nfcampos/loop-dev/commit/e28b1fce0078e605...
I assume that GP was just saying that they would prefer to read these thoughts written by a human author (preferably you). I agree.
If something is judgement heavy, "code i care deeply about", then i don't really agree with the direction of travel here. Don't try to delegate decisions you care deeply about.
I do like the framing of agent loop vs harness loop, but only delegate stuff that you can accurately specify in advance, that usually means stuff that's repeatable in my case ("hey go see how i did X, do that but for Y"), and that inherently means stuff that's predictable.
For stuff where lack of my judgement as input is just going to cause me to say "no", we're down to collaborating in the "agent loop" as Armin puts it. And that's totally fine. It's fast, but also safe.
Remember before AI coding assistants, sometimes you'd get an engineer join your team who was SUPER productive, your peers would be jealous "oh yeah but you guys only got all that done because you have X on your team!" - they didn't live the curse of having that kind of person around - if you don't have them PERFECTLY aligned, then they run off at break neck speed in the wrong direction.
Quoting the creator of CC holds little value in my opinion. I too call my product good. > opting out of this fully machine-driven future may not be an option. I am contemplating whether I want to stay inside this rat race. I completely agree with the conclusion of this blog post, by the way. I feel uneasy, and I do not enjoy the work I deliver using LLMs. I think OP did a really good job on capturing at least my curr…
> I feel uneasy, and I do not enjoy the work I deliver using LLMs. I have basically stopped writing code in my spare time since the advent of AI. Before I felt like I was working on a classic car. Was it a practical use of my time? No. I could go out and download software that did what I wanted. Did I have fun doing it? Yes, the act of working on it was important, I felt I was still learning and improving as I did. N…
Here is the similar perspective: https://isene.org/2026/05/Audience-of-One-Numbers.html
I was misunderstood you if you intend to write code by hand, I still did, I use AI to learn by example, but I write the real code myself, AI can help me improve the code. I learned a lot.
Being an iOS engineer, much of my engineering cycle these days is going from Figma/PRD → spec → code. After being handed off to QA, we handle the bugs and product slips as they come through, while we simultaneously build/spec the upcoming addition. This is basically the same agile style that's been popular for 20y, just super-powered with agents.
How might someone accomplish the same goals using loops instead?