When people talk about AI coding cost, the advice usually sounds like accounting:
Track tokens. Compare models. Review the bill.
That helps, but it happens too late.
The expensive moment is usually before the prompt is sent.
It is the moment where you decide whether to paste the whole file or only the broken function. It is the moment where you ask Claude Code, Codex, or Cursor to keep going because you are already in the flow. It is the moment where one cleanup task quietly turns into three more loops.
That is why I think AI coding usage needs to be visible while you are working, not only after the session is over.
A few small checks have helped me:
- Look at usage before starting a vague refactor
- Avoid sending entire files when one function is enough
- Treat repeated agent loops as a signal to stop and inspect manually
- Check the reset window before beginning a task that might sprawl
- Keep the usage number visible enough that it affects the decision
The goal is not to make developers paranoid about every token.
The goal is to catch the moment where the next prompt is no longer cheap just because it feels effortless.
That is also the idea behind TokenBar. It is a Mac menu bar app for keeping AI coding usage, limits, and reset windows visible while you work, instead of treating them like a receipt after the fact.
It is free to try, and TokenBar Pro is $15 lifetime if you want the full version:
If you are building with AI coding agents, the useful question is not only “what did this session cost?”
It is “would I have sent the same next prompt if the usage was visible one second earlier?”
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