#Prompt engineering

278 related articles

2026年6月8日·2 min

Claude Code Chinese Tutorial: A 100-Page Systematic Learning Guide on Feishu Docs

A detailed look at the Claude Code Chinese learning resource on Feishu Docs, covering AI agent learning, memory systems, and task decomposition with a systematic path from beginner to advanced.

2026年6月8日·2 min

Claude Code Chinese Tutorial: A Complete Guide from Installation to Real-World Applications

A detailed Chinese practical guide for Claude Code covering installation, domestic model integration, code development, copywriting, data analysis, and more to help you master this AI programming tool.

2026年6月8日·3 min

Claude Code Desktop Configuration Guide: Login-Free Setup + Chinese Localization + DeepSeek Integration

Complete guide to configuring Claude Code Desktop: login-free setup via Developer Mode, DeepSeek integration through CC Switch, Chinese localization, and custom Skill loading.

2026年6月8日·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.

2026年6月8日·3 min

GPT-5.2 Codex vs Opus 4.5 Hands-On: A Comprehensive Comparison of Coding Ability, Speed, and Developer Experience

Hands-on comparison of GPT-5.2 Codex vs Opus 4.5 across frontend generation, physics simulation, 3D scenes, and code refactoring, with practical selection advice.

Deep Dive into the Three AI Programmin…

2026年6月8日·3 min

Deep Dive into the Three AI Programming Frameworks: The Right Way to Do Specification-Driven Development

Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.

2026年6月7日·4 min

Can't Fill Out Prompt Templates Properly? The Four-Module Incremental Method Doubles Your AI Output Quality

Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.

2026年6月7日·4 min

Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering

Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.

2026年6月7日·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.

2026年6月7日·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.

2026年6月7日·4 min

The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques

A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.

2026年6月7日·4 min

The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model

Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.

2026年6月7日·4 min

Claude Code Practical Guide: Deep Dive into 7 Core Modules with Learning Path

Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.

2026年6月7日·3 min

Grill Me Skill: Let AI Interrogate You to Rapidly Extract Tacit Knowledge and Boost Project Efficiency

Learn how the Grill Me skill uses AI-driven systematic questioning to extract tacit knowledge, with checkpoint mechanisms to optimize context quality and boost first-iteration success from 70% to 90%.

2026年6月7日·3 min

Monetizing Claude Code: 4 Proven Revenue Paths Broken Down

Deep breakdown of 4 monetization paths for Claude Code: AI-accelerated freelancing, shipping tools at scale, selling methodology, and content creation. Each path is validated with real examples.

2026年6月7日·3 min

Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering

A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.

2026年6月7日·4 min

Real-World Comparison of Chinese AI Coding Models: Which One Best Generates a Complete E-Commerce System in One Shot?

Real-world test of six Chinese AI coding models — Qwen 3.7 Max, DeepSeek V4 Pro, MiniMax M3 and more — generating a complete e-commerce system, scored on UI, checkout flow, and backend management.

2026年6月7日·3 min

OpenAI Codex App In-Depth Review: Streets Parallel Development and Five Core Features Explained

In-depth review of OpenAI Codex App's five core features: Streets parallel development, deep Git integration, Skills system, Automation tasks, and MCP support.

2026年6月7日·3 min

CreateNow Controlled Development in Practice: Getting AI to Write Code Requirement by Requirement

Hands-on with CreateNow's controlled AI development: from requirements breakdown to modular coding. Covers model selection, breakpoint-resume, and acceptance checks.

2026年6月7日·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.