Reduce Wasted AI Coding Credits
Updated · Tech checked
Small tasks, plan-first messages, and reading before regenerating cut generations sharply. No fixed-cost promises; M06 discipline.
The direct answer
Waste comes from full rewrites and blind retries. The fix: tasks covering one file, plan-first messages, diff review before regenerating, and checkpoints after each working state. No guide can promise a fixed cost; providers meter differently.
Numbers you can check
Count your generations per feature for one week: most beginners halve the count by switching from rewrite requests to narrow edits with checks. Your own log is the only honest meter.
Method and mistakes
Snapshot per working state; regenerate only after reading the diff; one hypothesis per debug round. The waste pattern is generate, skim, regenerate, compare nothing.
Frequently asked questions
Should I buy a bigger plan? Not for this course. Nothing here requires paid generations; the provided-response path completes everything.
Do small models save money? They change the price and the quality together; measure your checks passed, not just tokens.
Sources and review
- Lessons M06 and labs A16-A18 (this site). Provider metering pages checked 2026-10-04.