The short leash AI coding method for beating Fable
Why CEREBRO kept it
Claude Fable coding method. Directly about LLM agent mechanics.
The text below is an automated extraction of the article at https://blog.okturtles.org/2026/07/short-leash-ai-method/, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (blog.okturtles.org).
This post is the culmination of over a year of research into how to properly use AI agents to write high-quality software in security-critical systems. I will be writing this post primarily from my perspective as a software developer, protocol developer, and maintainer of security-critical software. Over the past year I dove deep into AI agents. I have explored their limits, what they can and cannot be relied upon to do. I’ve created our own AI review tools that perform just as well as multi-billion dollar AI-review systems. I’ve maintained my own custom fork of an AI coding agent called Crush
Community take
Inefficient vs handwritten code; experienced devs already use tighter control via skills/prompts.
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