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From Hallucinations to Hardening: Lessons from the Front Lines of Multi-Agent AI Systems

This story is from 2026-09-01. It is preserved in the archive; the latest stories are on the live feed.

Originally published on tamiz.pro . The initial promise of Large Language Models (LLMs) centered on single-turn Q&A. Today, the frontier has shifted to Multi-Agent Systems (MAS) —orchestrations of specialized agents that can reason, code, retrieve, and act autonomously. While these systems unlock e…

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  1. 2026-09-01 18:00 · DEV Community — AI
    From Hallucinations to Hardening: Lessons from the Front Lines of Multi-Agent AI Systems

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