#asynchronous coding
320 related articles
·3 min
AI Coding Showdown: Four Major Models Show Shocking Performance Gaps on a Dynamic Web Scraping Task
Real-world test of ChatGPT 5.4, Gemini 3.1, DeepSeek V4 Pro, and Kimi 5.1 on a Baidu dynamic web scraping task reveals surprising gaps in AI coding ability.
Read more →
·4 min
The Complete AI App Development Workflow: Six Steps from Idea to Launch
A complete guide to building apps with AI coding tools, covering product docs, prototyping, full-stack development, database design, project management, and testing — no coding required.
Read more →
From Prompt Engineer to Loop Architect…
·2 min
From Prompt Engineer to Loop Architect: The Paradigm Shift in AI Programming
Explore the paradigm shift from prompt engineering to loop architecture in AI programming. Learn about Anthropic's Routines, the six elements of mature coding loops, and token cost strategies.
Read more →
·3 min
Pre-Installation Setup for Codex: A Configuration Guide for Git, Node.js, and VS Code
A detailed guide to the three essential pre-installation steps for OpenAI Codex: installing Git, choosing and verifying Node.js, and setting up VS Code — all done in 15 minutes.
Read more →
·3 min
Deep Dive into LangChain's Social Media Agent Open-Source Project: Architecture, Features, and Practical Value
In-depth analysis of LangChain's open-source social-media-agent: content sourcing, AI curation, scheduled publishing, Human-in-the-Loop design, and LangGraph architecture.
Read more →
·4 min
OpenAI Engineer's Practice: Agent-Driven Development Methodology in the Era of Free Code
OpenAI engineer Ryan Lopopolo shares 9 months of pure AI agent coding practice, revealing core methodologies including prompt engineering, automated code review, and skill design in the new paradigm where code is free.
Read more →
·4 min
Harness Engineering: A New Software Development Paradigm Where Humans Steer and AI Agents Execute
OpenAI engineer Ryan Lopopolo introduces Harness Engineering — a methodology where humans build constraint systems and AI agents handle all code implementation.
Read more →
·4 min
PeakCode Open-Source AI Coding Tool: An All-in-One Solution Combining Claude Code and Codex
PeakCode is an open-source AI coding tool combining Claude Code's engineering power with Codex's UX, featuring Web/desktop modes, plugins, Git integration, and automated Agent capabilities.
Read more →
·3 min
Codex vs Claude Code: AI Coding Agent Tool Comparison & Getting Started Guide
In-depth comparison of OpenAI Codex and Anthropic Claude Code — two top-tier AI coding agents. Explore their capabilities, ideal users, and practical tips to get started.
Read more →
·4 min
Complete Guide to Installing and Configuring Claude Code in China: From Environment Setup to Successful Launch
Step-by-step guide to installing Claude Code in China, covering Node.js setup, Git config, network proxy settings, and API key options to overcome common issues.
Read more →
·2 min
Tsinghua and Zhipu Release Full-Stack Web Dev Benchmark: Top AI Models Fail Spectacularly
Tsinghua and Zhipu AI release a full-stack web dev benchmark with three difficulty levels. Top models like Gemini 2.5 Pro see scores plummet from 63 to 11.7 on full-stack tasks, exposing AI's real limits.
Read more →
·4 min
MCP Protocol Explained: Architecture Principles and Hands-On Configuration Guide
Deep dive into MCP (Model Context Protocol): core concepts, four-layer architecture, and hands-on configuration. Learn how MCP transforms AI from a suggestion generator into a true executor.
Read more →
·4 min
Coze Workflow in Practice: Complete Tutorial for AI One-Click Product Promo Video Generation
Step-by-step guide to building a Coze workflow for AI product promo videos, integrating HappyHours and Jimeng across 12 nodes with nine-grid storyboards and polling loops.
Read more →
·2 min
OpenAI Codex Parallel Tasks in Practice: Multi-Task Concurrent Execution Tips and Best Practices
A detailed guide to OpenAI Codex Cloud parallel task execution, covering isolated container principles, concurrent UI component generation demos, merge conflict handling, and maintaining human review in AI programming.
Read more →
·2 min
AI Finishes Writing Code, Automatically Strikes a Gong to Alert You: Open-Source Physical Feedback Tool DAgent
A developer built a physical feedback device with chopsticks and a small gong that auto-strikes when AI finishes coding. Now open-sourced as DAgent, it also simulates IPO bell-ringing when creating new files.
Read more →
·3 min
Six AI Coding Tools Compared: Claude Code and Cursor Lead the Pack
In-depth comparison of six AI coding tools in 2026: Claude Code, Cursor, Codex, Trae, Qoder, CodeBuddy. Analyzed across Agent capabilities, IDE experience, and team collaboration with scenario-based recommendations.
Read more →
·2 min
Anthropic London Developer Conference: Claude Model Upgrades, Enterprise Agent Platform, and Developer Tools Fully Evolved
Anthropic's first London Code with Claude event unveiled Opus 4.7, Mythos, Cloud Managed Agents, Claude Code Routines, and more for AI-assisted development.
Read more →
·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.
Read more →
·3 min
8 Terminal Enhancement Tools to Supercharge Your Claude Code Programming Experience
8 free terminal tools—Bat, Eza, Chafa, Zoxide, TLDR, Miru, Yazi, LazyGit—to dramatically boost your Claude Code and AI coding workflow efficiency.
Read more →
·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.
Read more →