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Originally published on integrationstars.com. The short version: check shared state (a calendar, a stock count, a CRM record), then act on it, with nothing stopping a second execution from checking in between. An AI step stretches that window from milliseconds to seconds.
You face high cloud bills when you run powerful AI agents every day. Qwen3.5 gives you frontier-level multimodal reasoning locally. You combine it with OpenClaw for persistent agent workflows and Ollama for simple local serving.
Two documents appeared on 8 September. An arXiv paper measures what happens when a coding agent reads a poisoned repository under four permission models.
Por que se você está no loop, você é o gargalo. Nas últimas semanas, enquanto pesquisava padrões para estruturar o desenvolvimento com IA além do hype de autocompletes na IDE, assisti aos vídeos-ensaios de Dan Disler (IndyDevDan)¹ sobre fábricas de software autônomas.
Autonomous AI Agents and the Multi-Agent Paradigm in 2026 Subtitle: How agentic workflows, multi-modal reasoning, and autonomous tools are transforming full-stack software development in 2026.
How the saga pattern helps AI agent recovery in multi-step workflows Your AI agent got three steps right, then failed on the fourth. The order exists, the card may be charged, the customer might already have an email, and the CRM is now out of sync.
Short answer: Model Context Protocol documentation is versioned by date, not by number. Each revision has its own specification pages, a schema published beside them, and a changelog recording what moved since the previous revision.
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