Token limits can break the flow of coding with AI agents
A can stop in the middle of writing code when it reaches a token limit. Building software usually needs many rounds of changes, not one perfect answer. When a does not understand enough context, the person has to explain more and retry more often.
The current setup can make builders think about usage and cost while they are still trying to shape the software. A cheaper way to run on personal computers, using affordable RAM and GPU hardware, would reduce that pressure.
Key points
- A can hit a token limit before a coding task is finished.
- Software work often needs repeated changes and refinements.
- Poor context handling leads to more prompts, retries, and cost.
- Cost pressure can interrupt creative software work.
- Running locally on cheaper hardware is suggested as a possible direction.