#System Prompt
224 related articles
Claude Code Ultra Code in Practice: On…
·3 min
Claude Code Ultra Code in Practice: One Person Orchestrating 100+ Agents in Parallel Development
Learn how to use Claude Code's Ultra Code and Dynamic Workflow to orchestrate 100+ Agents in parallel, with Deep Research demos, token-saving tips, and workflow reuse methods.
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Codex Systematic Tutorial: From Beginn…
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Codex Systematic Tutorial: From Beginner to Enterprise-Level AI Engineering
In-depth guide to Codex AI programming tool: environment setup, Rules system, MCP protocol integration, multi-Agent collaboration, and enterprise RAG customer service project for complete AI engineering deployment.
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Reasonix: A Coding Agent Optimized for…
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Reasonix: A Coding Agent Optimized for DeepSeek with 99% Cache Hit Rate
Deep dive into Reasonix coding agent: how it achieves 99% DeepSeek cache hit rate, cutting API costs to 1%. Covers setup, four conversation modes, MCP support, and more.
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How to Configure DeepSeek in Claude Co…
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How to Configure DeepSeek in Claude Code: One-Click AI Model Switching with CcSwitch
Learn how to configure DeepSeek V4 Pro in Claude Code using CcSwitch. Complete setup in 3 steps with one-click AI model switching to reduce API costs.
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Complete Guide to Connecting DeepSeek …
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Complete Guide to Connecting DeepSeek V4 Pro with Codex and Claude Code
Step-by-step tutorial on connecting DeepSeek V4 Pro's discounted API to Codex and Claude Code desktop clients, with real-world Token usage and cost comparisons for AI-assisted programming.
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Claude Code Can't Remember Your Progre…
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Claude Code Can't Remember Your Progress? Build a Progress Skill to Fix It
Learn how to build a progress Skill for Claude Code using skill.md files to save and restore development progress across sessions, solving the context loss problem.
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Qoder Rules Feature Explained: Constra…
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Qoder Rules Feature Explained: Constraining AI Agents Like CLAUDE.md
A detailed guide to Qoder's Rules feature: creation methods, type selection, and usage tips. Learn how to persistently constrain AI Agents like CLAUDE.md for better controllability.
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Codex and Claude Code Multi-Agent Coll…
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Codex and Claude Code Multi-Agent Collaboration: A Practical Guide to Team-Based Workflows
Learn how to make Codex and Claude Code collaborate like a team. Use a cloud Agent orchestrator, shared project spaces, and clear task division to build a multi-AI Agent team workflow.
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AI Agent Core Architecture Explained: …
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AI Agent Core Architecture Explained: A Deep Dive into the Four Key Modules — Perception, Brain, Action, and Memory
Deep dive into AI Agent architecture: explore the four core modules — Perception, Brain, Action, and Memory — covering RAG, tool calling, Chain of Thought, and more.
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AI Large Language Model Learning Roadm…
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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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AI Agent Development Learning Roadmap:…
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AI Agent Development Learning Roadmap: A Complete Four-Stage Plan from Zero to Production
A systematic AI Agent development learning roadmap covering LLM API calls, ReAct framework, memory mechanisms, and multi-agent collaboration across four stages with timeline and project suggestions.
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AI Agent Development Learning Roadmap:…
·3 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Guide from Beginner to Practitioner
A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.
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Self-Study Guide to AI Agent Developme…
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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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One-Click JMeter Script Generation wit…
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One-Click JMeter Script Generation with AI Skill: A Practical Technique for 12x Efficiency Gains
Automate JMeter script generation with AI Skills, cutting manual configuration from 1 hour to 5 minutes. Learn the core Skill template elements, real efficiency data, and team standardization value.
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AI Large Language Model Learning Roadm…
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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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AI Coding Skill Mechanism Explained: M…
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AI Coding Skill Mechanism Explained: Making AI Work Efficiently with Professional SOP Workflows
Deep dive into the Skill mechanism in AI coding: definition, purpose, and usage. Learn how Skills differ from Agent Constitutions and enable AI to follow professional workflows for tasks like debugging, code review, and requirements analysis.
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In-Depth Review of a High-Freedom AI R…
·2 min
In-Depth Review of a High-Freedom AI Roleplay Companion App
In-depth review of a high-freedom AI roleplay companion app, covering immersive dialogue quality, character library depth, and custom character features to explore the latest trends in AI companions.
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Practical Experience Building an Autom…
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Practical Experience Building an Automated Development Pipeline with Multi-AI Agent Collaboration
Practical experience building a dev pipeline with multiple AI Agents: three-Agent architecture, Batch API cutting 50% token costs, 24/7 async execution, and the one-person company paradigm.
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·3 min
vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference
Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.
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Cherry Studio: A Deep Dive into the Open-Source AI Productivity Tool with Unified Access to 300+ LLMs
Deep dive into Cherry Studio, an open-source AI client supporting 300+ LLMs including OpenAI, Claude, and Gemini, with autonomous agents and pre-built assistants. Nearly 47K GitHub Stars.
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