395 related articles
ResearchDeep analysis of Claude Code's open-source architecture: dual-loop design, 7-step tool pipeline, 4-layer token compression, memory systems, and multi-agent collaboration patterns.
TutorialsA systematic guide to core concepts for FastAPI beginners, covering frontend-backend separation architecture, RESTful API design, and JSON data format advantages for Python developers.
TutorialsDeep dive into Claude Code 2.0.14's plugin system covering Slash Commands, Sub-agents, MCP integration, and Hooks—with demos on one-click plugin installation and custom code review plugin creation.
TutorialsHow Hooks+Skills+Commands+Agents work together in Claude Code to boost AI skill activation from 25% to 90%, with core config files and deployment guide.
TutorialsDetailed development log of a window capture module for an AI behavior tree game automation project, covering Python environment setup, OOP refactoring, and modular architecture design.
Tech FrontiersKiro officially stops providing Claude models and Auto Agent to Chinese users. Learn about the impact, official alternatives, refund policies, and practical strategies for affected developers.
Industry InsightsShould custom software teams go all-in on LLMs? Through a deep conversation with ChatGPT, we analyze scenario selection, Token costs, and industry fit to provide a rational decision framework for ToB developers.
Industry InsightsAnthropic's largest-ever foundational upgrade to Claude Code fixes six critical issues at once—terminal flickering, thinking freezes, cryptic errors, context deadlocks, unstable connections, and session crashes—shifting AI coding competition to the infrastructure layer.
TutorialsLearn how to split AI Agent capabilities into four modules—Tool Registry, Message Store, Agent Runtime, and Built-in Tools—and build a reusable, extensible Agent framework using Python decorators.
TutorialsOpenAI's Codex team shows AI programming now prioritizes organizational skills over coding. Learn the four paradigm shift signals, efficient workflows, and how developer roles are being reshaped.
Product ReviewsIn-depth comparison of Claude Code's top open-source plugins Superpowers and GStack — their skills, workflows, and use cases to help developers choose the best AI coding assistant setup.
Product ReviewsIn-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
Industry InsightsAI computer control success rates surpass humans, yet Cursor and Copilot still lack GUI Agent integration. Deep analysis of US product packaging vs. China's open-source ecosystem, plus three bottlenecks blocking the path to autonomous software engineers.
TutorialsComplete guide to Cursor AI installation, rules file configuration, and Agent mode in action. Master project-level and global rules setup to drive AI programming with natural language and boost coding efficiency.
TutorialsDeep dive into SubAgent context isolation architecture, covering parent-child Agent roles, tool definitions, run_subagent implementation, and differences from TodoList and Agent Teams.
TutorialsDeep dive into Claude Code Sub-Agent mechanism with a practical blog writing + Git commit case study, showing how multi-agent collaboration solves instruction loss and context bloat issues.
TutorialsDeep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
Product ReviewsDeep dive into the three Notion MCP Developer Challenge winners: Note Runway, Deaf Notion, and Relay. See how AI Agents integrate with Notion via MCP to transform note-taking into an AI knowledge hub.
TutorialsA systematic four-stage learning roadmap for programmers transitioning to AI Agent development, covering core theory, ReAct and classic paradigms, Prompt engineering, and hands-on projects.
Deep DivesWhy do longer Prompts make AI Agents less stable? This article explains the control flow first architecture, replacing natural language control flow with code orchestration to boost multi-step reliability from 40% to over 90%.