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Theo June 19, 2026 1m

Pete Was Right...(Again)

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  1. Here's your monthly reminder that you Here's your monthly reminder that you shouldn't be prompting coding agents shouldn't be prompting coding agents shouldn't be prompting coding agents anymore. You should be designing loops anymore. You should be designing loops anymore. You should be designing loops that prompt your agents. I don't know that prompt your agents. I don't know that prompt your agents. I don't know about y'all, but this memo didn't make about y'all, but this memo didn't make about y'all, but this memo didn't make it to me. Of course, I've seen loops it to me. Of course, I've seen loops it to me. Of course, I've seen loops before. Things like the Ralph loop before. Things like the Ralph loop before. Things like the Ralph loop really helped me think about how agents really helped me think about how agents really helped me think about how agents can do more over time, but it also can do more over time, but it also can do more over time, but it also massively increased the error rate of massively increased the error rate of massively increased the error rate of the changes that I was having my agents the changes that I was having my agents the changes that I was having my agents make. They were really cool, but they make. They were really cool, but they make. They were really cool, but they didn't seem that productive, and I found didn't seem that productive, and I found didn't seem that productive, and I found myself going back to the usual. In Pete myself going back to the usual. In Pete myself going back to the usual. In Pete as always is a bit ahead of the curve. I as always is a bit ahead of the curve. I as always is a bit ahead of the curve. I started getting my agents to prompt started getting my agents to prompt started getting my agents to prompt themselves. I started setting up systems themselves. I started setting up systems themselves. I started setting up systems where agents would review code, give where agents would review code, give where agents would review code, give feedback, adjust it, and then trigger feedback, adjust it, and then trigger feedback, adjust it, and then trigger re-reviews. I started using Hermes agent re-reviews. I started using Hermes agent re-reviews. I started using Hermes agent to bring context to me instead of to go to bring context to me instead of to go to bring context to me instead of to go out and find it for me. And I've out and find it for me. And I've out and find it for me. And I've accepted now accepted now accepted now that Pete's right. I would argue now that Pete's right. I would argue now that Pete's right. I would argue now that the majority of your agent runs that the majority of your agent runs that the majority of your agent runs should probably not be running with should probably not be running with should probably not be running with prompts that you wrote. That is a crazy prompts that you wrote. That is a crazy prompts that you wrote. That is a crazy thing for me to say because it was one thing for me to say because it was one thing for me to say because it was one of those like I never thought I would of those like I never thought I would of those like I never thought I would see the day things, but now that I've see the day things, but now that I've see the day things, but now that I've explored it myself and I've shipped a explored it myself and I've shipped a explored it myself and I've shipped a lot of code using these types of loops, lot of code using these types of loops, lot of code using these types of loops, I have a lot of thoughts I want to I have a lot of thoughts I want to I have a lot of thoughts I want to share.

Summary

The main theme is about the evolution of prompting coding agents, moving from manually created prompts to agent-designed loops. Key subjects include "Ralph loop," "Hermes agent," and the concept of agents prompting themselves, signifying a shift in control. The practical takeaway is that the majority of agent runs should be initiated by the agent's own prompts, not necessarily humans', leading to potentially more efficient and self-correcting workflows.

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