I keep seeing the same pattern with AI coding tools.
The bad moment is not when you hit a weekly or daily limit. The bad moment is when you realize you were close to the limit an hour ago and kept working like nothing was happening.
A few things that helped me:
- Treat token usage like battery, not like a monthly bill.
If your laptop battery was at 8 percent, you would change behavior immediately. AI coding limits deserve the same visibility.
- Check usage before the expensive task, not after.
Before a big refactor, migration, or bug hunt, I want to know if I am starting with plenty of room or if I should switch models, tighten the prompt, or split the task.
- Watch the reset time.
Knowing that usage resets tonight versus in six days changes the plan. One means keep going carefully. The other means stop burning the good model on cleanup work.
- Separate exploration from execution.
Exploration burns a lot of context. Once I know the shape of the fix, I start a smaller focused session instead of letting the same chat keep growing forever.
- Make the number visible while you code.
A browser dashboard is easy to ignore. A small Mac menu bar number is harder to ignore.
That is the reason I built TokenBar: a lightweight Mac menu bar app for seeing AI token usage, cost, limits, and reset times while working.
It is not meant to replace your AI coding tool. It is meant to stop the surprise moment where the tool says you are done for the day.
If you use Claude Code, Codex, Cursor, or similar tools heavily, this is the workflow I would use:
- glance at usage before starting a big task
- choose the model based on what is left
- split exploratory chats from implementation chats
- keep the reset time visible
- stop guessing why the tool suddenly slowed down or blocked you
TokenBar is here if that problem is annoying enough in your own workflow:
Top comments (0)