#five-step method
20 related articles
Tutorials·2 min
The Five-Step Rhythm Method for AI Programming: A Practical Strategy Where Slow Is Fast
A methodology for rhythm control in AI programming: use a five-step strategy (identify, plan, minimal change, test, risk assessment) to prevent AI from going off-track and causing rework.
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·4 min
From 50% to 92%: A Practical Methodology for Teaching AI Agents to Master Spreadsheets
An engineering team spent four months raising an AI coding agent's spreadsheet accuracy from 50% to 92%. Deep dive into REPL architecture, validation loops, and domain knowledge injection.
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·3 min
Understanding RAG from Scratch: A Complete Guide to Retrieval-Augmented Generation
RAG (Retrieval-Augmented Generation) is a key technology for solving LLM hallucinations. This guide breaks down how RAG works, its advantages, and real-world use cases — no math required.
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·7 min
Dify Enterprise System Integration in Practice: Building a Project Management AI Copilot with Workflows
Using a project management system as an example, this article details how to use the Dify low-code platform to achieve AI-powered integration of enterprise internal systems through interface capture and workflow orchestration.
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·6 min
A Practical Guide to Removing the AI Flavor from Fiction: Three Techniques to Make Your Writing More Human
Why does AI-written fiction always have an "AI flavor"? This article breaks down its two root causes and offers three practical techniques—reduce atmospheric padding, drive emotion through events, and control action steps—to write more natural, human fiction.
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·7 min
LangChain.js + Nuxt.js: An AI Full-Stack Advancement Path for Frontend Engineers
Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.
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·4 min
AI-Powered Chrome Extension Monetization: A No-Code Practical Guide
No coding skills? Learn how to build Chrome extensions for global markets using AI — from finding demand and generating code to publishing on the Chrome Store and earning subscription revenue.
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·7 min
A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad
Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.
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·4 min
AI Agent Memory System Architecture Breakdown: A Practical Selection Guide from 16 Open-Source Projects
Deep analysis of memory system architectures across 16 open-source AI Agent projects including Hermes, Goose, NanoClaw, and Deerflow, covering FTS5 vs vector search, multi-tenant isolation, and LLM auto-extraction.
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·3 min
Agentic Coding: How AI Agents Are Reshaping Legacy System Modernization
Developers spend 60%+ of their time understanding legacy code. Agentic Coding uses AI Agents to autonomously explore codebases, map hidden dependencies, and generate tests—turning legacy modernization from risky archaeology into a controlled engineering process.
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·3 min
5 Daily Claude Code Tips: Let AI Interrogate You Instead
5 daily Claude Code tips: Grill Me for requirements, Brainstorming for architecture, Writing Plan for execution, TDD for testing, and Debugging for precise fixes — a complete AI coding workflow.
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·4 min
Making 5-Figure Monthly Income with AI-Developed Chrome Extensions: A Complete Hands-On Guide
Learn how to use AI tools to develop Chrome extensions for overseas monetization, covering demand research, Cursor development, store review, and subscription revenue with a 28-day timeline.
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Tutorials·3 min
Writing Web Novels with DeepSeek: A Complete Prompt Tutorial from Outline to Publication
A complete guide to writing web novels with DeepSeek's Deep Think mode using a five-step method: outline, causal review, characters, chapters, and body text, plus tips for passing platform review.
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Product Reviews·3 min
Hermes Agent Deep Dive: Installation & Practical Guide to the Self-Learning AI Framework
Deep dive into Hermes Agent's core mechanisms: learning loops, three-layer memory system, and self-evolving Skills. Includes comparison with Claude Code and OpenCode, plus a complete installation guide.
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Industry Insights·2 min
OpenAI Symphony: The Future of Coding Agents Is Task Queues, Not Chat Windows
Deep analysis of OpenAI's open-source Symphony orchestration framework: transforming Coding Agents from chat windows to task queue-driven workflows with state machines, Proof of Work, and workspace isolation.
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Tutorials·3 min
AI-Assisted JS Reverse Engineering in Practice: Cracking Youdao Translate's Sign Algorithm
Learn how to use DeepSeek AI to assist JS reverse engineering, cracking Youdao Translate's Sign algorithm via packet capture, breakpoint debugging, dual MD5 analysis, and Python implementation.
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Tutorials·2 min
Six Pitfalls and a Three-Layer Solution for Implementing AI-Powered API Test Automation
Deep dive into six common pitfalls of AI-generated API automation scripts and a three-layer solution covering diagnosis and optimization for real-world implementation.
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Tutorials·2 min
Vibe Coding from Zero to $1 Million: A Complete Playbook for Indie Developers Going Global
Indie developer Owen shares a complete Vibe Coding playbook — from product portfolios to global monetization, covering AI coding tools, SEO traffic, and SaaS templates.
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Tutorials·1 min
Cold-Starting an APP from Zero Followers to $14,000/Month: The Complete Influencer Partnership Growth Playbook
How developer Evan cold-started a fitness APP to $14K/month with zero followers using influencer partnerships, gamified design, and CPM pricing models.
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Tutorials·2 min
The 5-Step AI Coding Method: Build Useful Mini-Tools from Scratch with Zero Coding Experience
Master the 5-step AI coding method: think, break down requirements, generate code, debug, and deploy. Build useful tools with zero coding experience and avoid common pitfalls.
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