Recently, I have been feeling that hooks are one of the most underrated parts of AI code agents.
I first really noticed their importance when I was using the VS Code Codex plugin inside WSL2. Sometimes the agent would silently finish its turn without any obvious note. If I was not watching carefully, I could easily miss that it was waiting for me again.
That small friction was enough to become a real workflow problem.
So I made this:
https://github.com/hyharry/codex-cli-notify
The original reason was simple: I wanted a clear notification when the agent finished, so I would not miss the turn reaction.
But once I started thinking in terms of hooks, the idea became much bigger.
A hook is not only for notifications. It is a clean customization point between the agent and the surrounding environment. With hooks, the agent can send an email, record memory, generate a skill, trigger another script, or keep a structured log of what just happened.
That makes the agent much more practical. Instead of treating it as a sealed black box, hooks let us attach small pieces of personal workflow around it.
For me, this is one of the most powerful directions in agent tooling. A strong base model matters, and memory matters too, but the small interfaces for customization may matter just as much in daily use.
Because real work is never only inside the model. Real work lives in reminders, logs, handoffs, local habits, and the tiny bridges between one tool and another.
That is why hooks feel extremely handy. They let an AI agent fit into my workflow, instead of forcing my workflow to fit the agent.