PCQuest on MSN
AI-first architecture Why AI agents break in production
It usually starts with optimism. The product works. The backend is stable. Deployments are clean. Then an idea comes up that says “Let’s put some AI in here.” So, a model is connected to the app. A ...
AI API calls are expensive. After our always-on bot burned through tokens, we found seven optimization levers that cut costs ...
What separates casual vibe coders from elite builders? It's not better prompts. It's systems. Here's the exact framework I use to keep AI projects production-ready.
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