#prompt engineering
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Claude Code Agent Teams Practical Guide: 30 Tips for Efficient Collaboration
In-depth analysis of 30 practical tips for Claude Code Agent Teams, covering team formation, task planning, cost control, and file conflict avoidance.
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Product Reviews·2 min
Claude Code Agent Teams Hands-On: Is Multi-AI Collaborative Development Actually Worth It?
Hands-on review of Claude Code Agent Teams multi-agent collaboration: team architecture, real-world performance, token costs, key limitations, and pragmatic recommendations for when to use it.
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Tutorials·2 min
Multi-Agent Applications in Practice: Building AI Multi-Agent Collaborative Workflows from Scratch
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Product Reviews·2 min
Full-Stack Delivery with Claude Code: One Person Completing an Enterprise-Level RAG Project
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Product Reviews·1 min
Ruflo: Turning Claude Code into a Multi-Agent Collaborative Development Team
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Product Reviews·2 min
PaperClip + Claude Code Multi-Agent Coordinated Development in Practice: Full Workflow Demo of an AI Virtual Team
Hands-on demo of building a multi-Agent development team with PaperClip and Claude Code, featuring Delivery Lead, Frontend/Backend Engineers, QA, and Code Reviewer roles in a full AI-automated development workflow.
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Product Reviews·2 min
Google AntiGravity 2.0 In-Depth Review: Desktop App, Go-Rewritten CLI, and Gemini 3.5 Flash Hands-On
In-depth analysis of Google I/O 2026's AntiGravity 2.0 desktop app, Go-rewritten CLI, and Gemini 3.5 Flash model. Covers multi-agent workflow testing, benchmarks, and competition with Claude Code/Cursor.
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Deep Dives·2 min
How AI Agents Work: The Four Core Elements and ReAct Loop Decision-Making Mechanism Explained
Deep dive into AI Agent's four core elements (LLM, Tools, Prompts, Executor) and ReAct loop decision mechanism, with a weather query example walkthrough.
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Tutorials·2 min
Practical Guide to Building a Dual-Terminal Skill System with Cursor + Claude Code
A solution for Skill system conflicts in Cursor and Claude Code dual-terminal development using a three-layer directory architecture for Opus and DeepSeek differentiated configuration.
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Tutorials·2 min
Google Antigravity in Practice: 6 Hidden Tips for Efficient Development
Master Google Antigravity IDE with 6 practical tips: Plan/Fast mode switching, mixed model strategies, quota monitoring, user rules, workflow reuse, and Manager mode for Agent First development.
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Tech Frontiers·2 min
Codex Plugin Sharing Explained: One-Click Workflow Sharing for Your Development Team
OpenAI Codex launches plugin sharing with one-click distribution to teammates via deep links and workspace permissions, turning personal AI workflows into shared team assets.
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Tutorials·2 min
Docker Model Runner Tutorial: Run AI Models Locally with a Single Command
Learn how to install, configure, and use Docker Model Runner to run AI models locally with Docker Compose integration, OpenAI API compatibility, and zero-config LLM deployment.
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Tutorials·2 min
DeepSeek for WeChat Official Account Formatting: A Hands-On Tutorial to Generate Beautiful Layouts in 2 Minutes
Learn how to use DeepSeek AI to generate WeChat Official Account HTML layouts in 2 minutes. Upload a reference image and article content for professional formatting—free and beginner-friendly.
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Tutorials·2 min
Tutorial: Integrating DeepSeek with QQ Bot — A Complete Guide to Calling AI APIs via POST Requests
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Expert Opinions·1 min
Vibe Coding for Products: Breaking Down the 1000x Difficulty Gap from Demo to Production
Deep dive into real Vibe Coding product experience: tech selection, automation pipelines, prompt engineering, and error handling—revealing the 1000x difficulty gap from cool demo to stable product.
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Deep Dives·1 min
Harness Engineering Explained: The Underlying Principles and Practical Methods for Controlling AI Agents
Deep dive into Harness Engineering: controlling AI Agents through rules, tool configuration, and workflow design, plus feedback mechanisms and Lifelong AI Agent practices.
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Deep Dives·2 min
Harness Engineering Explained: The Third Paradigm Shift in AI Engineering
Deep dive into Harness Engineering: the evolution from Prompt Engineering to Context Engineering to Harness Engineering, comparing Anthropic and OpenAI's different approaches to AI Agent development.
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Product Reviews·2 min
Bolt.new Hands-On Review: Can Vibe Coding Actually Build Real Projects?
Hands-on review of building a retro gaming blog with Bolt.new. Deep dive into vibe coding's workflow, iteration pain points, code quality issues, and real-world applicability.
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Tutorials·1 min
Archon Deep Dive: A Practical Guide to the Open-Source AI Coding Harness Builder
Deep dive into Archon, the open-source AI coding Harness builder. Learn how orchestrating multiple AI coding Agents can boost PR acceptance rates from 6.7% to 70% through systematic AI programming engineering.
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Expert Opinions·2 min
A Critical Look at AI Coding: Copilot Is Not a Developer's Replacement
An in-depth look at how to properly use AI coding tools like GitHub Copilot, exploring hybrid development, prompt evolution, and the risk of eroding developer learning abilities.
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