Comment by nielstron
6 days ago
Yes that's a great summary and I agree broadly.
Note with different prompt types I refer to different types of meta-prompts to generate the AGENTS.md. All of these are quite useless. Some additional experiments not in the paper showed that other automated approaches are also useless ("memory" creating methods, broadly speaking).
I will read the paper, but I am curious if the methods promoted by eng/researchers at openai for models like codex 5.2/5.3 work? ie, is having a separate agent look at recent agent sessions and deduce problems the agents ran into and update agents.md (or more likely, the indexed docs referenced in an agents.md) actually helpful? A priori that seems like the main kind of meta prompting/harness you might expect to work more robustly.