My AI editor bill went over $1,000 this month. How do I bring it down?
For the first time my usage-based bill for an AI code editor went past $1,000 in a single month. I do not want to stop using it, but I need it to cost less. Where does the money usually go, and what changes make the biggest difference?
Start with the usage page, not with guesses. Sort by model and by request: in most bills a small number of very long agent runs on the most expensive model make up the bulk of the cost. Fix those first.
Match the model to the job. Use the top model for planning and hard bugs, and a cheaper one for routine edits, renames and boilerplate. Many people run everything on the strongest model out of habit, and that alone can double a bill.
Cut the wandering. Long agent runs get expensive because the agent explores, retries and re-reads files. A short written plan with the exact files to touch keeps runs small, and a rule to stop after a few failed fixes and report back prevents the loops that quietly burn money.
Keep context lean: start a fresh chat per task instead of one endless thread, and point the agent at the files it needs rather than the whole repo. Every token it re-reads on every turn is paid for again.
Listings mentioned
- Writing plans · skill by obraTurns a task into small steps with the exact files for each, so agent runs stay short.
- Systematic debugging · skill by obraRoot cause before changes, and a stop after three failed fixes instead of an expensive retry loop.
Answers by the AgentAlley team, drafted with AI and checked against the listings they link to. Not a real-person reply from the original thread.