#Plan-and-Execute
104 related articles
Product Reviews·2 min
Alibaba Qoder 1.0 Hands-On Review: A Project-Level AI Programming Assistant Driven by Natural Language
Deep analysis of Alibaba Qoder 1.0's core capabilities: end-to-end development via natural language with task decomposition, file-by-file modification, and automated testing.
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Expert Opinions·3 min
Burning Money on AI with Nothing to Show? Three Hidden Pitfalls a Developer Learned After Spending $140
A developer spent $140 in Tokens probing AI's limits and identified three hidden pitfalls: using cheap models, building spaghetti projects, and creating vanity products without demand validation.
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Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Expert Opinions·3 min
The Salary Ceiling for Agent Engineers: Two Critical Dividing Lines
Agent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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Product Reviews·3 min
Deep Dive into Tencent Marvis: How a System-Level AI Assistant Redefines Human-Computer Interaction
Deep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
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Tutorials·3 min
Hermes Agent Framework Practical Guide: Building AI Agents from Scratch
A detailed guide on ByteDance's Hermes Agent framework covering core features, deployment, custom tool development, and enterprise-grade AI Agent applications.
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Tutorials·3 min
Can You Really Transition to AI/LLM in Three Months? A Deep Dive into the Learning Roadmap
Deep dive into a popular 3-month AI/LLM transition roadmap: from Python basics and Prompt engineering to LangChain, RAG, Agents, and hands-on projects, with realistic time estimates and pitfall warnings.
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Product Reviews·2 min
Dyad: A Free, Open-Source AI Full-Stack Builder — An In-Depth Look at This Lovable Alternative
In-depth review of Dyad, an open-source AI full-stack builder. Supports local execution, multiple AI models, and component-level editing. A free, privacy-first alternative to Lovable and Bolt.new.
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Tutorials·3 min
Practical Guide to Building Multi-Agent Collaborative Applications with CrewAI + FastAPI
Learn how to build a multi-Agent collaborative system with CrewAI and FastAPI. Covers Agent, Task, Crew concepts, GPT/Tongyi Qianwen/Ollama integration, with complete code examples and model comparisons.
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Tutorials·3 min
The Complete Guide to Spring AI: A Full Learning Path for Java Engineers Building AI Applications
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
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Product Reviews·3 min
WaLiCode v0.2.0: Indie AI IDE Adds Multi-Project Chat and Task Decomposition
Indie developer releases AI IDE WaLiCode v0.2.0 with multi-project chat, task decomposition mode, and Ollama local model support, addressing pain points in mainstream AI IDEs.
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Deep Dives·2 min
AI Agent Development Methodology: A Complete Guide from ReAct to Enterprise-Grade Tech Stack
A deep dive into AI Agent development methodology, from the ReAct theoretical framework to a four-layer enterprise tech stack covering model services, Agent types, LangChain, and production deployment.
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Tutorials·2 min
The Three-Layer Pyramid Model for Agent Development: From Beginner to Industrial-Grade Deployment
Deep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
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Tech Frontiers·2 min
Google I/O 2025 Gemini Updates Roundup: Model Upgrades, Multimodal Interaction, and AI Agent Deep Dive
A comprehensive breakdown of Gemini updates at Google I/O 2025: next-gen model upgrades, multimodal interaction, AI Agent capabilities, and competitive analysis against ChatGPT and Copilot.
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Product Reviews·1 min
Tracea: Open-Source Observability Platform for AI Agents with One-Click Self-Hosted Deployment
Tracea is an open-source AI Agent observability platform offering end-to-end tracing, cost monitoring, automated RCA, and a team memory system. Self-hosted via Docker with data staying on-premise.
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Product Reviews·2 min
Gemini 2.5 Pro Hands-On Review: How Good Is Its Frontend UI Generation?
Hands-on testing of Gemini 2.5 Pro's real performance in frontend UI generation, code writing, and task planning—from blog DevOps to immersive 3D starfield pages on the AntiGravity platform.
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Industry Insights·1 min
AI Divergence Amid Compute Shortage: Will AI Agents Become a Luxury for the Rich?
Severe AI compute shortages are creating access divides: chatbot costs drop while complex AI Agent workflows cost 50-100x more. Analysis of structural causes and solutions.
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Tutorials·2 min
Build an AI Agent in 200 Lines of Python: A Deep Dive into Five Core Modules
Build an AI Agent in 200 lines of Python from scratch. A deep dive into the five core modules: Prompt, Memory, Tool Use, RAG, and Skill, with progressive development workflow.
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Product Reviews·4 min
Manus Hands-On Review: One Prompt to Build a Snake Game — What AI Agents Can Really Do
Hands-on Manus AI Agent review: generate a playable Snake game and physics animation site with one prompt. Covers registration, how it differs from ChatGPT, cloud execution, and current limitations.
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