Free AI Tokens Are for Breaking Things, Not Building Them

Description and use

Use free tokens to systematically test edge cases, not to polish happy paths.

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.