Originally published on tamiz.pro.
Introduction
AI agents promise autonomy, reasoning, and adaptive behavior — but the gap between demo and deployment is vast. This deep-dive examines how production-ready agent engineering emerges from real-world framework usage, cross-model benchmarking, and the lessons learned when hype meets infrastructure.
The Framework Adoption Signal
Open-source projects act as proxies for industry sentiment. Frameworks like LangChain, AutoGen, and Haystack have crossed 10K+ stars on GitHub, signaling developer interest. But star count alone reveals little about production fitness.
