I have been building TokenBar, a small Mac menu bar app for watching AI usage while coding, and one pattern keeps showing up in my own workflow:
The expensive mistake usually happens before the agent writes bad code.
It happens when I start another Claude Code, Codex, or Cursor task without checking what kind of session I am walking into.
If I am near a reset window, low on included usage, or already deep into an expensive day, I should know that before I ask the agent to explore three possible implementations.
That changes the prompt.
Instead of:
"Figure out the best architecture for this."
I might write:
"Make the smallest safe patch. Do not refactor unrelated files. Stop after the first working version."
Same tool. Different budget posture.
The problem with hidden usage
AI coding tools make iteration feel cheap because the interface is fast.
You ask once, skim the output, ask again, paste an error, ask again, then ask for cleanup.
None of those steps feels like a big decision.
But together they can turn a simple fix into a noisy session with a lot of repeated context, retries, and side quests.
The issue is not that developers should avoid AI coding tools. I use them constantly.
The issue is that the usage signal is usually somewhere else.
A dashboard, billing page, provider console, or subscription limit is useful after the fact. It is less useful while I am deciding whether the next prompt should be broad or surgical.
A small habit that helps
The habit I like is simple:
Before starting a new AI coding task, check the meter.
Not after the agent gets stuck.
Not when the bill arrives.
Before the first prompt.
That one glance can answer:
- Is this a good moment for a broad exploration?
- Should I split this into a smaller patch?
- Am I close enough to a limit that I should avoid retry loops?
- Should I use a cheaper model for the first pass?
- Is this task worth doing with an agent at all?
It sounds tiny, but it changes behavior because the signal is visible at the moment of intent.
Why I put it in the menu bar
I built TokenBar around that idea.
A menu bar meter is not glamorous. It is just always there.
That is the point.
If usage visibility lives in a separate dashboard, I will check it when I remember. If it lives next to the clock, I see it while I am already working.
For AI coding, that matters because the decision window is short.
The useful moment is right before I hand the agent another chunk of context.
TokenBar is free to try, and TokenBar Pro is $15 lifetime if you want the full version: https://tokenbar.site/
The broader lesson for me is that cost controls do not always need to be heavy enterprise controls.
Sometimes the best control is just putting the number where the next decision happens.
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