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A deep dive into Claude Code's built-in Skill Creator feature — learn how to use natural language to have AI automatically create custom skills, enabling fully automated tool-building workflows.
TutorialsLearn how to use Claude Code's official Skill Creator to auto-generate test coverage report skills from natural language, covering creation, iterative optimization, and skill management workflows.
TutorialsA detailed guide to Claude Code Skill Creator's complete workflow: from writing requirements and generating skills to natural language iteration and old skill cleanup for test automation.

GitHub trending Aug 1: ByteDance's deer-flow SuperAgent, Microsoft's GenAI course, 3D generation, voice cloning, and privacy-first tools shape the AI landscape.

NexaLibre is a one-click deployment platform for AI-generated code, featuring built-in HTTPS, auto backups, and custom domains. This review covers its features, positioning, and market potential.

Learn how to advance from linear pipeline to state machine Agent architecture through a YouTube script-to-storyboard case study, covering fault tolerance, LLM evaluation frameworks, and LangGraph vs AutoGen selection.

A developer's pushback against AI haters sparks debate: does using AI mean producing slop? We analyze the value of AI-assisted programming and the professional anxiety behind the bias.

After heavy use of AI coding tools like Cursor and Claude, an indie developer discovers his debugging and code comprehension skills are eroding. Exploring the skill atrophy risks behind AI-boosted productivity.

Complete guide to configuring Kimi K3 as a Claude Code sub-agent, including API setup, YFlow workflow building, and head-to-head comparison with GPT-5.6 and Claude Fable 5.

Chinese users face registration, payment, and network barriers when accessing GPT, Claude, and other top AI models. This guide covers AI aggregation platforms as a one-stop solution.

Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.

A developer used Anthropic's Opus 5 model to build a No Man's Sky-style space exploration game in one day using Blender MCP and sub-agents. Deep dive into the technical architecture and industry implications.

Deep dive into Agent skill routing: comparing pure model vs. pure retrieval approaches, with a detailed two-stage layered architecture balancing accuracy, latency, and cost.

Deep dive into running OpenAI GPT-5.6 inside Claude Code: comparing Codex vs Claude Code on subagent orchestration, workflow design, and system prompt quality, revealing how harness engineering determines model output.

Explore the new code review mindset for the AI programming era: now that code is cheap, engineers should generate massive amounts of code to verify critical code rather than obsessing over reading every line.

Claude Code creator Boris argues top engineers should embrace AI-era automation leverage. By encoding domain knowledge into infrastructure, preview environments, and lint rules, engineers multiply output—the core path to Staff Engineer.

Explore the new code review mindset in the AI era: now that code is cheap, engineers should generate more code to validate critical code rather than reading every line.

Hands-on comparison of 7 Vibe Coding agents including Trae, Cursor, Claude Code, Codex, WorkBuddy & CoderWork, ranked by beginner-friendliness and performance.

Side-by-side review of 7 Vibe Coding agents including Trae, Cursor, Claude Code, Codex, WorkBuddy, and CoderWork, ranked by beginner-friendliness, performance, and ease of use.

Exposing the truth behind viral Codex 5-minute website videos: creators aren't building original sites with AI—they're copying shared prompts or scraping others' work. Learn AI coding tools' real limits.