#AI编程
9636 related articles
Harness Architecture Explained: A New Paradigm for AI Agent Development
Harness architecture is an AI agent design paradigm that splits agents into an LLM (CPU) and a Harness (OS). Learn its components, origins, and how it builds on prompt and context engineering.
Doubao Work in Action: How AI Completes a Week of Product Planning in One Day
A viral Bilibili video tests Doubao Work AI Agent — from generating a desktop pet app to feasibility reports, business plans, PPT decks, and web demos, all in one day.
Getting Started with WorkBuddy: How Tencent's AI Agent Is Reshaping Workplace Productivity
WorkBuddy is Tencent's AI agent desktop tool that reads local files, executes multi-step tasks, and runs on a schedule. Learn how it differs from ChatGPT and how to use it to boost workplace productivity.
WorkBuddy Getting Started Guide: Turning AI from a Chatbot into an Office Employee
WorkBuddy is a desktop AI Agent that operates your local computer to complete real office tasks. Learn what it is, how it compares to Codex, common misconceptions, and practical use cases.
WorkBuddy Complete Beginner's Guide: Master Agent Workflows in 1 Hour
A complete beginner's guide to WorkBuddy: master Agent workflows in 1 hour. Covers Skills/Connectors/MCP, task & permission management, five-part Prompt structure, and real-world use cases.
Claude Code Getting Started Guide: AI Coding Assistant Hands-On Review & Tool Comparison
What is Claude Code? This guide compares it against DeepSeek, Cursor, Trae, and Codex, analyzing context awareness, auto-debugging, and code accuracy to help you choose the right AI coding tool.
Buzz Multi-Agent Collaboration in Practice: A Team-Based Development Guide for the 30K-Star Open Source Dark Horse
A deep dive into Buzz, the 30K-star open-source multi-agent framework: three-layer architecture, AI team role design, JSON contract alignment, and human-in-the-loop workflows.
NVIDIA TensorRT Model Connect: Deploy Open-Source Models with Two Commands
NVIDIA TensorRT Model Connect deploys open-source models with just two commands — no ONNX conversion needed. Supports LLMs, diffusion, video generation, and more, with RTX consumer GPU compatibility and new dual DGX Spark multi-device inference.
Building a WeChat Mini Program from Scratch with WorkBuddy: A Complete Guide from Idea to Launch
A hands-on guide to building a WeChat Mini Program with WorkBuddy — covering product ideation, UI design, CloudBase backend, and app store submission, no coding required.
AI Application Development Roadmap: From Backend Foundations to Agent Engineering
A complete AI application development roadmap for undergraduates: from traditional backend foundations to RAG, Agent, and LLM fine-tuning. Covers career paths and project practice.
Industrial-Grade AI Agent Development Guide: From Demo to a Four-Layer Architecture That Can Handle Real Business
A complete guide to building industrial-grade AI Agents: covers the four-layer architecture, Planner, Tools, Memory, the ReAct loop, vector databases, RAG, and enterprise stability.
Build an AI Agent with Memory from Scratch: Full-Stack with Python, Flask, and DeepSeek
Learn how to build an AI Agent with persistent memory using Python, Flask, and DeepSeek API. Covers selective storage, on-demand recall, and cross-session memory.
Hiwonder miniAuto Pro Open-Source Robot Car: Testing AI Large Models and Voice Agent Integration
Hiwonder miniAuto Pro open-source robot car integrates LLMs, ESP-Claw agent, and voice AI for natural language multi-step control, ultrasonic conditionals, vision recognition, and object grasping.
AI Agent Learning Path for Beginners: A Complete Framework from Theory to Practice
A structured AI Agent learning path for beginners: from Agent principles and Prompt engineering to RAG, multi-agent collaboration, and three hands-on projects.
3-Stage Fast Track to Agent Development: From Prompting Models to Building Real Projects
A practical 3-stage learning path for Agent development: skip the math barrier, start with ReAct loops and tool calling, progress through LangChain/LangGraph, and finish with real projects.
LLM Agent: A Practical Guide from Technical Frameworks to Agent Tuning
A practical guide to LLM Agent technology: covers Prompt, RAG, and Agent frameworks, explains Agent Tuning principles, private deployment motivations, and cost considerations for developers.
AI Agent Development: A Beginner's Guide from Concepts to Hands-On Practice
Learn what AI Agents are, how they differ from chatbots, and how to get started with a structured path from LangChain basics to full project practice.
Zero to AI Agent Developer: A 4-Week Learning Roadmap and Guide to 7 Architecture Patterns
How to break into AI Agent development from scratch? This guide covers a 4-week roadmap, core components, the ReAct paradigm, and how to choose among 7 major Agent architectures.
From Raw LLMs to Agents: A Complete Guide to the Four Stages of AI Commercialization
A systematic breakdown of the four stages of LLM commercialization — raw LLMs, prompt engineering, RAG, and Agents — with a deep dive into what AI Agents are, why they matter, and the four core problems they solve.
GameAgent vs. Pink: Three-Round Showdown of Game Development AI Agents
GameAgent vs. Pink: three-round Cocos Creator AI agent comparison across Hello World, Snake, and a platformer level — testing code, design, and scene-building stability.