Developer fixes app crash under load after rejecting AI's 'hardware limit' advice

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A developer launched an intranet tool called EasyONE that progressively slowed to a halt as hundreds of staff logged in simultaneously during its rollout. Facing a flood of complaints, the developer consulted AI assistants Claude and Gemini, both of which attributed the failure to unavoidable hardware limitations. Unconvinced, the developer continued investigating for several nights, questioning whether a true hard limit existed given the server's strong performance on other demanding tasks. The root cause turned out to be a missing caching mechanism — the app was rebuilding every screen from scratch on each user interaction, multiplying wasted processing as the load grew. Implementing caching resolved the slowdowns instantly, demonstrating that the AI's initial diagnosis was incomplete and that persistent questioning ultimately led to the real fix.

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