#Agent framework
152 related articles
·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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·4 min
Vibe Coding Beginner's Guide: Tool Selection Across Three Categories with Practical Examples
A comprehensive guide to Vibe Coding's three tool categories: Agent frameworks, CLI Coding, and IDE tools, with practical examples including Snake game and data analysis workbench.
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·3 min
Vibe Coding in Practice: A Junior Student Uses Cursor to Build a Multi-Agent System with 51 AI Officials Based on the Three Departments and Six Ministries Framework
A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.
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·2 min
Anthropic Team in Practice: Claude Code Experience with 16 Parallel Agents Developing a Compiler
Deep analysis of Anthropic's real-world Claude Code practices: 16 parallel Agents building a C compiler, three-role architecture for full-stack apps, smart approvals solving 93% blind approval issues, and six official best practices.
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·2 min
Claude Mythos 5 Allegedly Spotted, Inside OpenAI's Equity Negotiations with the U.S. Government
Claude Mythos 5 briefly spotted in Anthropic's API sparking launch speculation; OpenAI negotiates equity transfer and public wealth fund with U.S. government for over a year; Hermes Agent V0.16.0 ships native desktop app with Chinese language support.
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·4 min
Core Principles of Coding Agents: How Perception and Context Engineering Determine AI Coding Effectiveness
Deep dive into why coding Agents differ: perception lets Agents understand projects first, context engineering precisely filters information within limited token budgets.
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·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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·2 min
CreateNow Agent Configuration Tutorial: One-Click Integration with DeepSeek and Other Major LLMs
Step-by-step guide to configuring CreateNow agents with DeepSeek, Kimi, and Xiaomi LLMs. Covers one-click setup, custom model integration, and API Key acquisition for building AI digital employees.
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·4 min
Core Methodology of Prompt Engineering: A Systematic Deep Dive from Principles to Practice
A deep dive into prompt engineering principles and core methodology. Master three keys to high-quality prompts: specific, rich, and unambiguous. Learn tuning techniques and advanced programming integration.
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·2 min
Hermes Agent Seven-Layer Configuration Guide: From VPS Deployment to MCP Server — A Complete Tutorial
A detailed guide to Hermes Agent's seven-layer configuration: VPS deployment, Discord integration, scheduled backups, Kanban management, holographic memory, and MCP server setup.
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Pi Coding Agent Deep Configuration Gui…
·4 min
Pi Coding Agent Deep Configuration Guide: A Complete Breakdown of Custom Tools, Sub-Agents, and the Skill System
A complete Pi Coding Agent configuration guide refined over two months, covering custom tools, sub-agents, persistent memory, security, and skill systems.
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AI Startup in Practice: A Complete Bre…
·3 min
AI Startup in Practice: A Complete Breakdown of $8,374 in Revenue from a $100 Investment in 13 Days
Robbie, an ordinary employee, used $100 and an AI Agent to launch a business, earning $8,374 in 13 days. A full breakdown of the path from failure to success, including AI-driven market analysis and a stunning 43.8% conversion rate.
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AI Large Language Model Learning Roadm…
·4 min
AI Large Language Model Learning Roadmap: A Complete Guide from Zero to Project Implementation
A systematic AI LLM learning roadmap covering prompt engineering, RAG, AI Agent development, and fine-tuning — with beginner-friendly paths and practical tips.
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Self-Study Guide to AI Agent Developme…
·4 min
Self-Study Guide to AI Agent Development: A Complete Path from Zero to Production
A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.
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AI Large Language Model Learning Roadm…
·3 min
AI Large Language Model Learning Roadmap for Beginners: A Three-Month Hands-On Guide
A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.
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A Practical Guide for Agent Engineers:…
·3 min
A Practical Guide for Agent Engineers: The Three-Phase Core Methodology for AI Programming
Master the three-phase methodology for Agent engineers: Ideation, Iteration, and Evolution. Build reliable AI programming systems without over-engineering.
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Rebuilding a Complete GUI App with Dee…
·2 min
Rebuilding a Complete GUI App with DeepSeek for Just $2.50: A Real-World AI Programming Cost Breakdown
A Bilibili creator used DeepSeek V4 Pro via Cursor to rebuild a complete IndexTTS GUI app for just 18.63 RMB (~$2.50). Full breakdown of the AI coding workflow, features, and cost comparison.
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·1 min
Runway Agent Launch: Conversational AI Video Creation Tool That Generates Complete Videos from a Single Prompt
Runway launches AI creative agent Runway Agent, supporting conversational interaction for end-to-end video production from ideation to sound design and editing, marking AI video tools entering the Agent era.
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Deep Dive into Cosmos: A Unified AI Ag…
·3 min
Deep Dive into Cosmos: A Unified AI Agent Platform That Orchestrates Agent Fleets to Boost Development Efficiency
Deep dive into Cosmos, a unified AI agent orchestration platform that integrates scattered AI agents into a coordinated system spanning the full dev lifecycle, achieving 3x throughput gains.
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·4 min
5 Viable Paths to Making Money Independently with Python
5 proven paths to making money independently with Python: automation scripts, AI app development, quantitative trading, tool/course sales, and full-stack web services, with pricing references and practical tips.
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