2026.06.03
Building Your First Flue Agent: Core Concepts and Tool Integration
Build your first Flue agent, understand its unique agent harness architecture, integrate tools, and structure agents in TypeScript for robust AI …
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2026.06.03
Deep Dive into Coding Agents: Sandboxed Execution and Persistent State
Explore Flue's sandboxed execution and persistent state for building robust coding agents. Understand the architecture, implementation, and deployment …
ACCESS_FILE >>2026.03.20
CrewAI: Empowering Agents with Roles, Tasks, and Collective Goals
Explore CrewAI, a powerful framework for orchestrating role-playing, autonomous AI agents to achieve complex collective goals through structured tasks …
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Dynamic Context: Prioritization & Sliding Windows for Agents
Explore dynamic context management for LLM agents, focusing on prioritization strategies and sliding window techniques to maintain relevant …
ACCESS_FILE >>2025.11.06
Bonus Section: Further Learning and Resources
A comprehensive guide to further learning and resources for mastering Agentic Lightening, LLM agents, and related technologies.
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Flue Framework for Production AI Agents
Master Flue Framework for production AI. Explore its agent harness architecture, TypeScript workflows, and how it surpasses LLM SDKs. Build and deploy …
ACCESS_FILE >>2026.05.26
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination: Research Explainer for Builders
TeamTR introduces trust-region fine-tuning to prevent shared-context drift, a critical failure mode in multi-agent LLM systems, significantly …
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RAGEN-2: Reasoning Collapse in Agentic RL: Research Explainer for Builders
RAGEN-2 identifies and measures 'reasoning collapse' in multi-turn LLM agents, where internal thought processes degrade despite initial task success, …
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