267 related articles
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.
Open-Source MCP Tool: A Definitive Sol…
Explore the open-source MCP tool with 20K+ GitHub Stars that eliminates AI coding hallucinations by fetching real-time official docs for Cursor and VS Code.
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.
Five Core Capabilities of GitHub Copil…
Deep dive into GitHub Copilot's MCP integration in JetBrains IDEs: Agent Mode, Sampling model scheduling, MCP Prompts, Resources context injection, and Elicitation structured dialogue guidance.
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.
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.
TutorialsDeep dive into LangGraph's core graph structure design, single and multi-agent collaboration patterns, MCP protocol integration, and Time Travel fault-tolerance, with enterprise-level hybrid multi-agent architecture implementation.
TutorialsDeep dive into LangGraph multi-agent architecture covering Graph structure principles, MCP service integration, Time Travel debugging, and supervised multi-agent enterprise implementation patterns.
Product ReviewsIndie developer releases AI IDE WaLiCode v0.2.0 with multi-project chat, task decomposition mode, and Ollama local model support, addressing pain points in mainstream AI IDEs.
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 ReviewsCursor restricted in China? This article reviews three AI coding alternatives: Augment Code for smart prompt optimization, Trae for best value, and Amazon Kilo for process-driven development.
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.
Expert OpinionsGumloop founder Max shares the truth about AI automation: processing 4M daily workflows taught him why 50 AI Agents running a company is a lie, and why the real AI philosophy is acceleration, not replacement.
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.
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.
Tech FrontiersGoogle Jules 3.0 launches API, CLI tools, and memory system. Free 15 daily tasks powered by Gemini 2.5 Pro. Deep dive into how Jules evolves into an embeddable AI coding partner.
TutorialsA systematic four-stage career path for AI/LLM application development: from RAG and Agent fundamentals to architecture design, helping developers transition to AI roles targeting 40K+ monthly salary.
TutorialsA deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.