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John
John

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The AI coding meter is most useful at the session boundary

I have been building TokenBar, a small Mac menu bar app for watching AI coding usage, and the more I use agentic tools, the more I think the important moment is not the middle of a prompt.

It is the session boundary.

Before I start a Claude Code, Codex, or Cursor run, I want to know a few boring things:

  • how much usage I have already burned
  • whether I am close to a reset window
  • whether this is the kind of task that will trigger a retry loop
  • whether I should split the job before handing it to an agent

That sounds small, but it changes behavior.

The expensive mistake happens before the expensive run

Most AI coding waste does not feel expensive while it is happening.

You ask for a fix. The agent tries something. It runs tests. It patches again. It hits an unrelated error. You ask it to continue. Then you ask it to continue again.

By the time you realize the session got sloppy, the tokens are already gone.

The useful warning is earlier:

Do I want to spend the next chunk of usage on this exact task?

That is a different product surface than a billing page.

A billing page tells you what happened.

A session meter helps you decide what to do next.

Usage visibility should live where the habit starts

For developers, the habit starts before the next prompt.

That is why I like the menu bar for this kind of tool. It is not trying to be another analytics dashboard. It is just present enough to make the cost visible at the moment you are about to start work.

A good AI coding meter should answer questions like:

  • am I fresh enough to start a long agent run?
  • should I use a smaller model for this pass?
  • should I write a tighter prompt before sending it?
  • should I wait for the reset instead of forcing one more loop?

None of those questions need a huge dashboard.

They need a small, always-visible reminder.

The goal is not guilt

I do not want AI usage tools to make developers afraid of using AI.

The point is the opposite.

If the meter is visible, you can use agents more confidently because you know when the session is still healthy and when it is drifting.

That is the design rule I keep coming back to:

Show the meter before the next run, not after the monthly surprise.

That is what I am building with TokenBar: a Mac menu bar app that keeps Claude Code, Codex, Cursor, and other AI coding usage visible while you work.

TokenBar is free to try, and TokenBar Pro is $15 lifetime if you want the full version: https://tokenbar.site/

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