If you're using multiple AI tools for development in 2026, you already know the pain: different rate limits, different reset windows, different pricing models, and zero unified visibility.
Here's my actual daily setup and how I manage it without losing my mind.
The Tools
| Tool | What I Use It For | Limit Type |
|---|---|---|
| Codex | Autonomous multi-file tasks | Session + weekly |
| Claude Code | Architecture, reasoning, code review | Session + weekly |
| Cursor | In-editor autocomplete + chat | Monthly requests |
| ChatGPT | Quick questions, brainstorming | Rate-limited |
| Gemini | Large context research | RPM limits |
| Copilot | Background completions | Included in plan |
The Problem
Each tool has its own dashboard (if it even has one). Claude recently removed their usage progress bars. Cursor's usage page is buried in settings. Codex shows a vague percentage. None of them talk to each other.
When you're deep in a coding session and hit a rate limit on your primary tool, you lose 5-10 minutes figuring out which backup tool has capacity and when the primary resets.
The Solution
I found TokenBar — a macOS menu bar app that monitors all of these in one place:
- Session/weekly/credit meters with reset countdowns
- Pace intelligence — tells you if your usage rate will get you through the reset window
- Status monitoring — incident badges when a provider is having issues
- Threshold alerts — notifications before you hit limits
- 20+ providers supported (including Ollama for local models)
$4.99 one-time. No subscription. Local-first, no telemetry.
My Workflow Now
Morning: Glance at TokenBar. All green? Go hard on Codex for the big tasks.
Midday: Codex running low? Shift to Claude Code for reasoning work. Use ChatGPT for quick questions to preserve Claude capacity.
Afternoon: Check pace indicators. If I'm on track, keep going. If I'm in deficit, switch to Cursor for in-editor work (different quota pool).
Result: Zero surprise rate limits in 3 weeks. I always know exactly where I stand.
The Meta-Lesson
The bottleneck in AI-assisted development isn't the AI. It's the human overhead of managing multiple AI tools. Any system that reduces that overhead — whether it's an app like TokenBar or just a spreadsheet — pays for itself in recovered focus time.
What's your multi-AI management setup? Still winging it or have you built a system?
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