Stop Guessing What Your AI Coding Tools Actually Cost
If you're using GitHub Copilot, Cursor, or other AI coding assistants, you might be spending more than you think. Token usage adds up fast — per developer, per sprint, per project — and most teams have no visibility into it.
I built the AI Coding Cost Tracker to fix this. It's a lightweight tool that gives you real-time dashboards showing exactly where your AI-assisted development budget goes.
What you get
- Real-time token usage dashboards — see costs as they happen
- Per-developer and per-project breakdowns — no more spreadsheets guessing who spent what
- Exportable reports — budget reviews made easy
- Works with Copilot, Cursor, and OpenAI-powered tools — plug-and-play integration
Why this matters
AI coding tools boost productivity, but without cost tracking they become a black hole in your budget. A single developer running Copilot across multiple projects can burn through thousands of tokens weekly. Multiply that across your team and you're looking at a significant line item that's nearly impossible to audit manually.
The tracker cuts through that ambiguity. You'll know what each feature branch costs, which team members are heaviest users, and whether your ROI on AI tools actually justifies the spend.
The indiehacker angle
I'm an indie developer who noticed this gap while consulting on a team using Copilot. The finance team couldn't answer basic questions about spend, and the engineering team had no incentive to curb usage. I built the tracker over a weekend and released it as a one-time £5 purchase — no subscriptions, no recurring fees.
If you're an indie dev or a small team, every pound counts. Knowing your true cost per sprint lets you make better decisions about which AI tools are worth it and which aren't.
How to get started
Head over to theaisuite.pages.dev/copilot-token-billing/ and grab the AI Coding Cost Tracker for £5. Install the dashboard, connect your tools, and have your first cost report within minutes.
You can also check out my other AI tools at theaisuite.pages.dev — including the Anthropic Intel Brief for deep dives into model architectures.
Tags: ai, indiehacker, saas, productivity
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