7 Hidden Costs of AI-Powered Development (And How to Actually Track Them)

We're in the golden age of AI-assisted development. Claude Code, Cursor, GitHub Copilot, Codex — the tools are incredible. But there's something nobody talks about: the actual cost of using them . I've been building two Mac apps as a solo dev, and I've been obsessively tracking every dollar I spend on AI tools. Here's what I found. 1. Token Burn on Refactoring Prompts The biggest cost surprise? Refactoring. When you paste a 500-line file and say "clean this up," you're burning input tokens on the entire file plus output tokens for the entire rewrite. One refactoring session can cost more than a full day of chat-style prompting. The fix: Break large refactors into targeted, surgical edits. "Rename this function" costs 10x less than "refactor this file." 2. The "Let Me Try Again" Loop We've all been there. The AI gives you something that's 80% right, so you say "actually, change X and Y." Then it regenerates the entire response. Three rounds of this and you've spent 5x what a single well