#AI collaboration
135 related articles
·3 min
Claude Code Enterprise E-commerce in Practice: A Methodology for Taking AI Programming from Demo to Industrial-Grade
A deep dive into engineering methodology for enterprise e-commerce development with Claude Code and Harness AI, covering architecture, code quality, and CI/CD practices.
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·4 min
Grill With Docs: Doubling AI Programming Collaboration Efficiency with a Unified Language
From Grill Me to Grill With Docs: applying DDD's Ubiquitous Language to solve terminology drift and context loss in AI programming for efficient cross-session collaboration.
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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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·2 min
Claude Code Desktop Status Capsule: An Open-Source Widget for Real-Time AI Coding Status Monitoring
An open-source desktop status capsule that monitors Claude Code's idle, working, and completed states in real time, with multi-conversation management, memos, and music control for developers.
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·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.
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Deep Dive into the Three AI Programmin…
·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.
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·2 min
AI Aggregator Platforms Tested: A Complete Guide to Using GPT 5.5 and Other Top Models for Free
A hands-on guide to using GPT 5.5, Gemini 3.1 Pro, and Grok 4.2 for free via AI aggregator platforms, covering cross-model context memory, account pool mechanisms, and key security risks.
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·2 min
AI Coding Deployment Guide: A Complete Hands-On Workflow from Local Demo to Live Website
Most AI Coding tutorials stop at local demos. This guide walks through 8 key steps to deploy an AI-powered 3D figurine website from Codex coding to live server deployment.
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·4 min
Deconstructing the Serenity Methodology: An Investment Research Framework from Market Leaders to Physical Bottlenecks
Deep breakdown of anonymous trader Serenity's methodology: drilling from market leaders along supply chains, using four hard conditions to identify physical chokepoints, and building a repeatable pipeline with Claude Code.
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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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·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%.
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·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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·2 min
ChatGPT Merges with Codex: What a 24-Hour Autonomous AI Assistant Means
OpenAI fully integrates Codex into ChatGPT, creating an AI digital worker capable of autonomous planning and up to 24 hours of continuous execution. A deep dive into core upgrades, use cases, and industry impact.
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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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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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What Is Cursor? A Complete Guide to th…
·4 min
What Is Cursor? A Complete Guide to the AI-Native Programming IDE's Core Features and Use Cases
Deep dive into Cursor's four core features: AI-native design, natural language code generation, context awareness, and multi-model switching. Compare it with traditional IDEs to see if Cursor can boost your dev efficiency.
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AI Era Survival Guide for Programmers:…
·3 min
AI Era Survival Guide for Programmers: The Transformation from Code Producer to AI Orchestrator
In-depth analysis of AI programming's impact on traditional developers, covering Vibe Coding trends, the emerging FDE role, and how programmers can transform through business acumen and architectural thinking.
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Trae + Claude Code + DeepSeek: A Low-C…
·2 min
Trae + Claude Code + DeepSeek: A Low-Cost AI Programming Combo Explained
A detailed guide to the Trae, Claude Code, and DeepSeek AI programming combo — just 20 RMB/week in API costs. Covers setup steps, practical tips, and layered collaboration strategies.
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Claude Code Can't Remember Your Progre…
·2 min
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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Getting Started with Claude Code: Inst…
·2 min
Getting Started with Claude Code: Installation, Setup, and Hands-On AI Programming
A complete guide to Claude Code: installation, setup, and comparison with Cursor, Copilot, and Trae. Learn how its full-project context understanding and auto-debugging make it a top AI coding tool.
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