#software engineering

387 related articles

2026年6月8日·2 min

Duel Agents: Multi-AI Agent Competition Mechanism That Automatically Selects the Most Cost-Effective Coding Solution

Duel Agents uses multi-model parallel competition and recursive task decomposition as a routing layer before tools like Claude Code, automatically selecting the most cost-effective AI coding result with claimed 70% savings.

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·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.

2026年6月8日·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.

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8日·3 min

Vibe Coding in Practice: A Junior Student Uses Cursor to Build a Multi-Agent System with 51 AI Officials Based on the Three Departments and Six Ministries Framework

A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.

2026年6月8日·3 min

Cursor Internal Data: 75% of Code Generated by AI, Engineers Transforming into Agent Managers

Cursor reveals internal data: enterprise AI-generated code surges from 15% to 75%, Agent requests grow 15x YoY, and 30% of PRs are completed entirely by Agents. Engineers are becoming Agent managers.

2026年6月8日·1 min

Cursor System Outage: Paid Users Hit by Quota Restrictions, Official Fix Underway

AI coding tool Cursor confirms a system outage affecting paid user quotas and limits. Learn about the impact, workarounds, and alternative tools for developers.

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·2 min

Claude Code + Codex: The Most Reliable Division of Labor — A Three-Phase Approach of Planning, Execution, and Review

A detailed guide to the Claude Code and Codex collaborative workflow: Claude Code handles architecture planning and code review, while Codex handles execution. Boost dev efficiency through standardized handoffs.

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·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

Claude Code + Codex Cross-Validation: Dramatically Reducing AI Coding Bug Rates

Learn how to combine Claude Code and Codex in a cross-validation workflow — a develop-review-fix loop that dramatically reduces AI coding bug rates.

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

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.

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·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.