Natural-language requests vs. long structured prompts: what actually improves performance?

Is important to be aware that the agents performance matters beyond the prompt. A friendly-repository to the agents is something to keep in mind as well.

AGENTS.md distributed in the root of the workspace and through the subfolders, useful SKILLS (either generics or adapted to your workflow), customized agents , hooks, rules, reusable workflows, etc. It is a lot of things and all of them is well explained in Codex Docs. As long as your codebase increase in size, is important to evaluate and adapt your agents guidance in the project.

Each of these agents guidance has a why, so don’t just drop random guidance through your repo or just copy/paste from another project, evaluate it before.