Your Git History Knows Which AI Coding Server You Should Pick

Description and use

Teams can quickly assess whether their repository fits within a free AI coding server’s token limits using a script that analyzes token consumption of recent commits, enabling informed decisions on pricing and hosting.

Problem

Teams often debate free versus self‑hosted AI coding servers without considering the actual token usage of their codebase, leading to costly or inefficient choices.

Outcome

Teams can quickly assess whether their repository fits within a free AI coding server’s token limits, avoiding costly mis‑choices and ensuring compliance with data‑residency needs.

Workflow

• 1. Clone the fitcheck.sh script from the article.
• 2. Make it executable with chmod +x fitcheck.sh.
• 3. Run ./fitcheck.sh <N> <repo_path> where N is the number of recent commits to analyze (default 50).
• 4. Review the output: average diff tokens, largest diff, files touched more than once, and projected monthly token burn.
• 5. Compare the projection to the free tier allocation and decide on a live latency test, monitoring, or migration.
• 6. If the projection exceeds the free allocation or data‑residency requirements, choose self‑hosting or a paid plan.

Evidence

The script below reads your git history and estimates the token appetite of your last N commits.

Source

If your average diff stays under roughly 2,000 tokens and your monthly projection fits inside the free allocation, the free tier is structurally sufficient.

Source

Teams with data‑residency requirements, because your code crosses a network boundary.

Source