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# The Good Stuff, Episode 61: Loop Engineering
Boris (Claude Code creator) and Steinberger both tweeted this week: "I don't prompt anymore, I just build loops that prompt for me." Pete's response: they've discovered being a team leader.
Loop engineering is organizational design with new hype marketing terms—triggers, processes, business rules, the stuff we've been doing for a thousand years. The conversation explores where humans actually fit in these loops (spoiler: you can't be hands-off), the coin flip problem of compounding agent decisions, and why running agents for a day with no human interference produces drift toward suboptimal forks. Vision, values, and principles aren't just for humans-they're how you scale decision-making when you can't review every choice.
Also covered: the bubble phase of AI where we're shitting money into the pool instead of making things efficient, Apple's WWDC local LLM play (MDX protocol, neural accelerators), and why the $50/month product gap is so hard to close.
**Key Moments:**
- [01:01] Boris tweet: "I don't prompt anymore. I just build loops that prompt for me."
- [01:26] "They've discovered being a team leader. Basically."
- [06:07] "Business intelligence layer—it sounds sexy. But for 20 years there's always been a project in every business that was 'we should just have one big database.'"
- [07:50] "It's discovering that instead of coding, maybe we should be thinking about coding methodologies"
- [09:04] "What's interesting about agents is they move quick enough that you can put more iterations in. So it does feel loopy."
- [12:20] The coin flip problem: "If you've got 50 sub-agents, each making a judgment call, that's another coin toss. Your likelihood of getting heads nine times out of ten has just been obliterated."
- [14:21] "OpenAI pays his bills. At that point it doesn't matter what you're spending."
- [16:37] Vision, values, principles: "Here's how we make decisions. Every decision, you need to be thinking about these."
- [18:22] "Your AI does not have the same intuition for where you're going that you do. When you sit with it, it steers right. When you don't, it doesn't."
- [24:03] Shopify's five-person team ideal: "It's just because you can have tons of people doesn't mean you should"
- [29:29] "It's not all about the volume. It's always been about differentiation and taste and specific useful output."
- [40:47] Mythos/Fable: "It told me it was going to burn credits at twice the rate"
- [51:24] The bubble: "We're in this bubbly cash grab. We haven't done any of the interesting engineering work about making this efficient instead of making it bigger."
- [55:44] "I don't need more intelligence. I need better application to the problem."
**Friends of the Pod:** DeadmanOz, Gav, Mark, Peter Levels, Toby from Shopify.
**New Terms Coined:** The Right Porridge (Goldilocks context management), Loop Engineering (what we're calling it for now)
**Quote:** "We seem to be speed-running, the realization that the all of the organizational management infrastructure we've developed over the last thousand years was useful. It's there for a reason. We've not arrived there accidentally, we're now just reinventing it for agents with new names."
By Other Stuff# The Good Stuff, Episode 61: Loop Engineering
Boris (Claude Code creator) and Steinberger both tweeted this week: "I don't prompt anymore, I just build loops that prompt for me." Pete's response: they've discovered being a team leader.
Loop engineering is organizational design with new hype marketing terms—triggers, processes, business rules, the stuff we've been doing for a thousand years. The conversation explores where humans actually fit in these loops (spoiler: you can't be hands-off), the coin flip problem of compounding agent decisions, and why running agents for a day with no human interference produces drift toward suboptimal forks. Vision, values, and principles aren't just for humans-they're how you scale decision-making when you can't review every choice.
Also covered: the bubble phase of AI where we're shitting money into the pool instead of making things efficient, Apple's WWDC local LLM play (MDX protocol, neural accelerators), and why the $50/month product gap is so hard to close.
**Key Moments:**
- [01:01] Boris tweet: "I don't prompt anymore. I just build loops that prompt for me."
- [01:26] "They've discovered being a team leader. Basically."
- [06:07] "Business intelligence layer—it sounds sexy. But for 20 years there's always been a project in every business that was 'we should just have one big database.'"
- [07:50] "It's discovering that instead of coding, maybe we should be thinking about coding methodologies"
- [09:04] "What's interesting about agents is they move quick enough that you can put more iterations in. So it does feel loopy."
- [12:20] The coin flip problem: "If you've got 50 sub-agents, each making a judgment call, that's another coin toss. Your likelihood of getting heads nine times out of ten has just been obliterated."
- [14:21] "OpenAI pays his bills. At that point it doesn't matter what you're spending."
- [16:37] Vision, values, principles: "Here's how we make decisions. Every decision, you need to be thinking about these."
- [18:22] "Your AI does not have the same intuition for where you're going that you do. When you sit with it, it steers right. When you don't, it doesn't."
- [24:03] Shopify's five-person team ideal: "It's just because you can have tons of people doesn't mean you should"
- [29:29] "It's not all about the volume. It's always been about differentiation and taste and specific useful output."
- [40:47] Mythos/Fable: "It told me it was going to burn credits at twice the rate"
- [51:24] The bubble: "We're in this bubbly cash grab. We haven't done any of the interesting engineering work about making this efficient instead of making it bigger."
- [55:44] "I don't need more intelligence. I need better application to the problem."
**Friends of the Pod:** DeadmanOz, Gav, Mark, Peter Levels, Toby from Shopify.
**New Terms Coined:** The Right Porridge (Goldilocks context management), Loop Engineering (what we're calling it for now)
**Quote:** "We seem to be speed-running, the realization that the all of the organizational management infrastructure we've developed over the last thousand years was useful. It's there for a reason. We've not arrived there accidentally, we're now just reinventing it for agents with new names."