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Beyond ReAct: Building the modern AI agent stack for massive tool ecosystems - TechTalks

Giving an LLM thousands of tools leads to noisy decisions. Learn how to optimize AI agent planning and tool routing without overwhelming the context window.

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Beyond ReAct: Building the modern AI agent stack for massive tool ecosystems - TechTalks

Alibaba's SkillWeaver applies Skill-Aware Decomposition to route agents through massive tool libraries, reducing tokens by 99.9% versus naive approaches. Enterprises can now orchestrate thousands of skills in agent workflows without context bloat or runaway costs.

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From Chaos to Code: Building Production-Grade AI Agents with LSP, Local-First Architecture, and Rigorous…

Production-grade AI agents must integrate LSP for deterministic code understanding and adopt local-first architecture—replacing stochastic RAG with deterministic dependency resolution and AST parsing. Hybrid local/cloud inference reduces token costs and latency while keeping IP on-premises—enabling reliable, enterprise-deployable AI systems.

Beyond ReAct: Building the modern AI agent stack for massive tool ecosystems - TechTalks

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Beyond ReAct: Building the modern AI agent stack for massive tool ecosystems - TechTalks

From Chaos to Code: Building Production-Grade AI Agents with LSP, Local-First Architecture, and Rigorous…

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From Chaos to Code: Building Production-Grade AI Agents with LSP, Local-First Architecture, and Rigorous Evaluation

Beyond ReAct: Building the modern AI agent stack for massive tool ecosystems - TechTalks

Beyond LLMs: Agent Logic Is the Real Key to Scaling Enterprise AI