If you are a solo dev or an engineering lead in 2026, there is a good chance your team is already using AI-assisted coding tools like GitHub Copilot, Cursor, or similar OpenAI-powered assistants. They feel free or cheap inside the IDE, but they are not.
The hidden cost problem
Every AI-generated autocomplete, inline chat, and code suggestion costs money in the background. The problem is that most developers never get a clean breakdown of:
- How many tokens their team used in a sprint.
- How much each developer is generating.
- Whether budgets are on track or quietly growing out of control.
Without that data, AI spend is treated like a vague overhead line while everything else—cloud infra, licenses, headcount—is carefully tracked.
A practical fix
Instead of waiting for your company to build internal dashboards, a simple tracker can give you visibility immediately. The right tool should show:
- Real-time token usage across your coding tools.
- Per-developer and per-project cost breakdowns.
- Exportable reports you can paste into your budget review.
That is exactly what the AI Coding Cost Tracker does for Copilot, Cursor, and similar tools.
For a one-time cost of £5, it turns an opaque monthly bill into something you can actually explain and control. For teams on a budget, and indie hackers who need to justify every pound spent, that clarity is useful immediately.
Takeaways
- Track token usage before it becomes a surprise invoice.
- Use a one-time tracker rather than another subscription if possible.
- Export reports so AI spend is visible in sprint reviews.
If you have already outgrown guessing your AI coding cost, see it here:
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