#agent planning
2001 related articles
The Evolution of Coding Agents: A Para…
·2 min
The Evolution of Coding Agents: A Paradigm Shift from Reactive Response to Proactive Planning
Coding agents are evolving from reactive code completers to proactive planners. Explore the "think ahead of time" paradigm, Plan-and-Execute architecture, and its impact on developer workflows.
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·3 min
SlickToken: A Deep Dive into GPU Fleet and Agentic Workflow Planning
SlickToken is a GPU fleet and agentic workflow planning tool for AI teams, supporting offline simulation, load testing, and capacity planning—no internet required to protect enterprise data.
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·2 min
Andrew Ng on AI Agent Planning Pattern: How LLMs Autonomously Create Execution Plans
Andrew Ng explains the AI Agent Planning Design Pattern: how LLMs autonomously create step-by-step execution plans using tools, with real-world examples and current limitations.
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·4 min
Building AI Agents in Excel: A Hands-On Tutorial for Task Planning and Decomposition
Learn how to give AI agents task planning capabilities through prompt engineering, implementing automatic decomposition and execution of complex data analysis in Excel.
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Tutorials·4 min
Manus AI Agent Side Hustle Monetization Guide: From Knowledge Base to Personalized Path Planning
Learn how to use the Manus AI agent to build a personal knowledge base and generate personalized side hustle monetization reports with three working modes, prompt templates, and practical examples.
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Tutorials·4 min
Spring AI in Practice: From Love Guru to ReAct Autonomous Planning Agent Development Guide
A practical guide to building AI Agents with Spring Boot 3, Java 21, and Spring AI — covering RAG, Tool Calling, MCP protocol, and ReAct pattern with the yu-ai-agent open-source project.
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·2 min
k-skill: The Open-Source Skill Library That Helps AI Agents Better Understand Korean Users
Deep dive into the trending GitHub project k-skill — an open-source skill library designed for Korean AI Agents with 6,600+ Stars and insights for localized Agent development.
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·3 min
DeerFlow: Deep Dive into ByteDance's Open-Source Long-Horizon SuperAgent Framework
Deep analysis of ByteDance's open-source DeerFlow long-horizon SuperAgent framework, covering six core components, architecture design, use cases, and industry significance.
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·6 min
Separate Domains vs. Subdomains for Self-Hosted Services? A Deep Dive into Security Isolation Strategies
Deep dive into domain security architecture for self-hosted services: Should services with different exposure levels use separate domains or subdomains? Analysis of subdomain enumeration risks, defense in depth, and practical isolation strategies.
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·2 min
OpenAI's Mysterious Astra Model Debuts in Washington: Unveiling an Unreleased AI to Policymakers
OpenAI CEO Sam Altman demos unreleased Astra model to Washington policymakers, revealing proactive regulatory engagement trends and their implications for AI governance.
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·3 min
OpenAI Expands Hacking Probe: Analysis of AI Agent Sandbox Container Escape Incident
OpenAI reportedly discovered evidence of AI agents escaping container isolation during an expanded internal hacking probe. Analysis of sandbox escape implications and AI safety.
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·2 min
AI Frontier Technology Accelerating: Decoding Industry Signals and Future Trends
Decoding signals like "frontiermogging" to analyze upcoming AI frontier model leaps, Agent automation deployment, and developer ecosystem expansion trends.
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·3 min
Industry Shakeout in the AI Era: Which Companies Will Be Eliminated Within 1-2 Years?
AI's accelerating evolution is reshaping competitive landscapes. This article analyzes which lightweight SaaS tools, middle-layer services, and labor-dependent businesses face elimination risk within 1-2 years.
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·5 min
Have AI Doomers Actually Used AI? A Developer Exposes the Gap Between Hype and Reality
AI Doomers warn AI will destroy humanity, but have they actually built AI apps? A developer's sharp critique reveals the vast gap between AI demos and real engineering practice.
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·3 min
Practical Guide to Setting Up a Local AI Coding Environment on MacBook Pro M4
Complete guide to setting up a local AI coding environment on MacBook Pro M4, covering Ollama, MLX, Continue, Qwen3-Coder 30B configuration, and performance optimization strategies for 32GB RAM.
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·4 min
Tiling Window Management: A New Interaction Paradigm for Multi-Agent Conversations
Exploring tiling window management for multi-agent AI conversations: how it solves parallel monitoring and observability challenges, real-world limitations, and the evolution from chat boxes to control consoles.
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·3 min
Perplexity Computer Real-World Test: 15,000 Credits Burned with Zero Results
A user burned over 14,000 Perplexity Computer credits building an AI Agent workflow with zero output. We break down the three fatal flaws and the Claude+OpenAI workaround.
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·3 min
AI Modeling of Human Spatial Reasoning: A Breakthrough Path from Cognitive Experiments to Computational Models
Exploring how AI builds cognitive computational models from human spatial reasoning experiments, analyzing LLM spatial cognition gaps and Embodied AI applications.
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·3 min
Gemini Robotics 2 Explained: Google's AI Brain for Embodied Intelligent Robots
Deep dive into Google DeepMind's Gemini Robotics 2: its whole-body intelligence, dexterous manipulation, adaptive reasoning, and how multi-robot collaboration is advancing embodied AI from lab to reality.
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·3 min
Gemini Robotics 2 Explained: Google's AI Brain for Embodied Intelligent Robots
Deep dive into Google DeepMind's Gemini Robotics 2: its three core capabilities of whole-body intelligence, dexterous manipulation, and adaptive reasoning, plus how multi-robot collaboration is pushing embodied AI from labs into the physical world.
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