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Expert OpinionsAI-assisted programming has shifted from novelty to default. Over 70% of developers use AI coding tools daily. This article explores survival rules for developers in the new AI programming era.
Gemini CLI Practical Guide: Custom Com…
Complete guide to Gemini CLI setup, custom TOML commands, and MCP plugin integration. Covers free tier details, command templates, and multi-MCP Server configuration for an efficient AI coding workflow.
PyCharm AI Assistant Deep Dive: Local …
Explore PyCharm AI Assistant's new features: free local AI completion, cloud-powered generation, Chat & Edit modes, and context management tips for Python developers.
Context Mode: How One MCP Plugin Cured…
Context Mode solves AI coding assistants' context amnesia via sandbox isolation, session continuity tracking, and code-thinking philosophy—compressing context consumption by 99% and earning 9,700 Stars in two months.
TutorialsComplete Cursor beginner's guide covering installation, model selection, three conversation modes, billing rules, Rules setup, and practical AI programming tips to help you master Cursor quickly.
6 Must-Have MCP Plugins to Supercharge…
6 must-have Claude Code MCP plugins: File System, Structured Thinking, GitHub, Chrome DevTools, Context7, and Memos—build a complete AI programming workflow.
TutorialsA deep dive into Cursor's coding agent architecture and practical techniques, covering code search, feature development, debugging, code review, and custom configuration for efficient AI programming.
Product ReviewsOpenAI launches a Codex Chrome extension enabling automated actions on authenticated websites. Deep analysis of its capabilities, security design, CLI improvements, and plugin ecosystem evolution.
TutorialsExplore Claude Code multi-Agent collaboration with Planner+Packager Subagents for semi-automated project iteration, plus a lite TARS orchestration concept revealing Agent inter-calling limits.
TutorialsHow to build a complete online learning platform with Figma design, Cursor AI coding, and UniApp+UniCloud — including user APP and admin system — without writing any code manually.
Product ReviewsCompare top AI coding plans including Cursor Max, ChatGPT Pro, GLM Coding Plan, and DeepSeek API — with pricing, performance, and use-case recommendations to help you choose.
Product ReviewsDeep analysis of Cursor 3.0's three core upgrades: Rust rewrite leaving VS Code behind, in-house Composer 2 model with 86% cost reduction, and Agent Windows for multi-agent parallel development.
Product ReviewsIn-depth comparison of 8 AI coding tools including Cursor, Claude Code, Augment Code, Trae, and Windsurf across model support, pricing, code quality, and context understanding to help developers choose the right tool.
Product ReviewsDeep analysis of Cursor 3.0's two core updates: Agent Window for multi-Agent parallel development with cloud cross-device collaboration, and Design Mode for direct UI modification in the browser.
TutorialsA hands-on tutorial for building a financial report analysis AI Agent from scratch using Cursor editor, Skills definitions, and MiniMax M2.1. Covers setup, architecture, Skills methodology, and multi-language programming.
ResearchEmpirical study of 110K open-source PRs comparing 5 AI coding agents (GitHub Copilot, Claude Code, Devin) on merge rates, code survival, and long-term maintainability—revealing AI code's 50% one-year survival rate.
Product ReviewsPair AI natively integrates 6 AI coding tools—Roo Code, SuperMaven, Perplexity, Memo, Continue—into one editor starting at $15/month, competing with Cursor and Windsurf.
Product ReviewsDeep comparison of Qoder, Cursor, Windsurf, and Devin across autonomy, reliability, and context capabilities to help developers choose the right AI coding assistant.
Product ReviewsDeep dive into Devin 2.0 — the latest evolution of the world's first AI software engineer. Exploring autonomous coding, multi-agent parallelism, Ask Devin, Deep Wiki, and how it differs from Copilot and Cursor.
Deep DivesBased on Anthropic's engineering practices, a detailed three-step decision framework for single-agent vs multi-agent architecture: bottleneck identification, technical feasibility, and business value filtering.