Free AI Tokens Are for Breaking Things, Not Building Them

Описание и применение

Используйте бесплатные токены для систематического тестирования крайних случаев, а не для улучшения «happy path».

Developers spend free AI tokens polishing happy paths instead of testing failure scenarios, leading to production failures.

Systematic failure hunting on a free server reduces production bugs and optimizes token usage.

1. Deploy AI feature to a free server before writing prompts.
2. Run a harness that sends edge-case requests (empty messages, oversized context, duplicate submissions, concurrent requests).
3. Capture and paste surprising responses into the model, asking for minimal fixes.
4. Re-run the harness after each fix until status codes stabilize.
5. Keep real user data off the free server and treat free tokens as a hard budget.

Free tokens make this worse because cost pressure pushes you toward fewer, safer experiments and a demo that always works.

Paste the exact response body back into the model, ask for the minimal change that turns that specific code into the one you want.