AI coding agents are useful, but the dangerous part is not the first prompt.
It is the quiet loop after that.
The agent retries a failing test.
Then it rereads the same files.
Then it adds another patch.
Then it asks the model for a bigger explanation.
By the time you notice, the work may still be unfinished, but the session has already burned a surprising amount of context and money.
The missing UI is a stop loss
Most AI coding tools show output. Fewer show the cost of the output while you are still making decisions.
For real dev work, I think the useful number is not only monthly spend. It is live session burn.
Before starting a Claude Code, Codex, or Cursor agent run, I want to know:
- how much I have already used today
- whether this session is getting expensive
- whether a retry loop is worth continuing
- whether I should stop, reset context, or narrow the task
That number should be visible before the monthly invoice, not after it.
A simple rule I like
If an AI coding session has not produced a useful change after a few attempts, check the meter before giving it another broad instruction.
Sometimes the right move is not a better prompt. It is a smaller task.
For example:
- ask it to inspect one failing file instead of the whole repo
- paste the exact error instead of asking it to rediscover it
- split the fix from the refactor
- stop the loop and restart with a cleaner context
The goal is not to use fewer tokens at all costs. The goal is to spend tokens on progress, not on confusion.
Why I put this in the menu bar
A dashboard is good for review.
A menu bar meter is good for behavior change.
When usage is always visible, it changes how you hand work to the agent. You catch runaway sessions earlier. You notice when a small bug fix is becoming an expensive investigation. You make the next prompt tighter.
That is the idea behind TokenBar, a macOS menu bar app for watching AI usage while you work.
It is free to try, and TokenBar Pro is $15 lifetime.
If you are building with Claude Code, Codex, Cursor, or other agentic coding tools, I think live usage visibility is becoming part of the developer workflow, not just a billing feature.
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