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Building AI Agents in Production: What MCP Rejections, .env Leaks, and 70-Line Loops Taught Me

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

Originally published on tamiz.pro . Most AI agent architectures fail not because the model is wrong, but because the engineering around it is naive. I learned this the hard way when my first production agent loop crashed the billing service after a Model Context Protocol rejection cascaded into an…

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  1. 2026-09-09 06:01 · DEV Community — AI
    Building AI Agents in Production: What MCP Rejections, .env Leaks, and 70-Line Loops Taught Me

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