#Agent Loop
2155 related articles
Tutorials·4 min
Google Jules Official Launch: A Complete Guide to the Free AI Coding Agent
Google's AI coding agent Jules is now officially available, with a free tier offering 15 tasks/day. Covers Jules's 5 core features, GitHub integration, CLI support, use cases, and practical tips.
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Deep Dives·4 min
What Is Playground Skill? How HTML Interaction Solves the Pain Points of AI Coding Communication
How Playground Skill uses HTML interactive interfaces to solve the pain points of natural language limitations in AI coding. Comparing traditional text-only modes with the new two-way interaction paradigm for Coding Agents.
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Tutorials·3 min
AI Agent Development in Practice: 5 Evolutionary Stages from API Calls to Multi-Agent Collaboration
A complete guide to AI Agent development evolution: from API First principles to multi-Agent collaboration, covering prompt optimization, context engineering, and memory mechanisms to build reliable enterprise Agent systems.
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Product Reviews·2 min
One Month of Vibe Coding: Lessons Learned from Building Real Projects with Zero Coding Experience
A creator with zero coding experience spent one month Vibe Coding with OpenAI Codex, completing two real projects. Here are the real pitfalls and three hard-won lessons.
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Product Reviews·3 min
Manus Review: A Deep Dive Comparing It to MetaGPT to Reveal the True Capabilities of This AI Agent
A deep review of Manus AI Agent across technology, product, and marketing dimensions, compared with MetaGPT. Core capabilities overlap by 90%+. Is it innovation or packaging?
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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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Tutorials·3 min
LangGraph Multi-Agent in Practice: Building a Medical Agent System from Scratch
A deep dive into LangGraph multi-agent architecture for healthcare, covering LangChain, RAG, and MCP integration, from requirements analysis to Agent orchestration.
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Tutorials·2 min
Beginner's Guide to AI Large Language Models: GPU Requirements & Core Tech Stack Explained
2025 complete guide to AI LLMs: local deployment GPU/VRAM requirements (RTX 4090/24GB) and core tech stack including Prompt Engineering, Agents, MCP, LangGraph, and WorkFlow orchestration.
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Deep Dives·4 min
Five Core Concepts of AI Programming: A Complete Guide from Prompt to Harness Engineering
A clear breakdown of five core AI programming concepts — Prompt Engineering, Context Engineering, Agent, Skill, and Harness Engineering — with real-world use cases and advice for indie developers.
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Product Reviews·4 min
MiniMax AI Agent Review: Testing 3 Real-World Scenarios with This Free AI Agent
In-depth MiniMax AI Agent review: tested across business plans, research reports, and PPT creation. Powered by MiniMax M1 with 1M token context. Free to start.
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Tutorials·4 min
Claude Code Installation & Setup Guide: From Zero to Integrating Domestic LLMs
Complete guide to installing and configuring Claude Code: Git & Node.js setup, environment variables, bypassing network issues in China, integrating Alibaba Cloud Bailian LLMs, and a hands-on demo of all three working modes.
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Tutorials·4 min
Enterprise Deep Research Agent Implementation Guide: Architecture Design and Core Pain Points
A deep dive into enterprise Deep Research Agent deployment: architecture design, LangChain framework, and solutions to the top 10 pain points including tool chaos, context contamination, and cost control.
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Tech Frontiers·4 min
OpenAI's $3B Windsurf Acquisition: How AI Is Reshaping the Programming Landscape
OpenAI acquires AI coding tool Windsurf for $3B. We break down the three-layer strategic logic, the impact on programmer jobs, and the rise of AI product managers.
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Tutorials·4 min
STM32 Smart Car Development: Where Does AI-Assisted Programming Hit Its Limits?
A deep dive into an STM32F103C8T6 HAL library AI smart car course, exploring AI's real capabilities and three key limitations in embedded development, and the best practices for human-AI collaboration.
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Deep Dives·3 min
MCP Protocol Explained in 3 Minutes: The USB-C Standard for AI
A clear breakdown of MCP (Model Context Protocol): its core concepts, three standard primitives, real-world use cases, and ecosystem status. Learn how Anthropic's open-source unified tool integration standard is changing AI development.
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Tutorials·3 min
Practical Guide to Developing an AI Agent-Based Crop Pest and Disease Early Warning System
A detailed guide to developing an AI Agent-based crop pest and disease early warning system, covering image recognition, data visualization, and meteorological monitoring modules.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Deep Dives·3 min
Hermes Agent Deep Dive: Five-Layer Memory Architecture and Self-Evolution Mechanism Fully Explained
A deep dive into Huawei's open-source Hermes Agent framework: five-layer memory architecture, self-evolution loop, multi-agent collaboration, and comparison with Open Manus.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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