66 related articles

A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.

A deep dive into Claude Code's Prompt Caching mechanism, covering the three-layer cache structure, invalidation rules, lifecycle management, and best practices to reduce API costs and boost response speed.

Vibe Coding, coined by ex-Tesla AI Director Karpathy, redefines AI programming. This article breaks down the LLM + Agent + Workflow three-layer architecture.

Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.

Ponytail's six-step decision ladder forces AI to ask "is this necessary?" before coding. Benchmarks across 12 tasks: 54% less code, 22% fewer tokens, 100% security retained. Works with Cursor, Claude, and more.

Deep dive into GitHub's open-source Spec-Kit: 5 core commands and 2 optional checkpoints that solve AI coding drift. From setting Rules to generating code, every step makes the AI pause for your approval.

A deep dive into expert AI programming workflows covering Cursor rules, skills systems, automated loops, cloud agent parallel development, and multi-model collaboration strategies.

A systematic guide to advanced Claude Code usage covering context management, plan mode, parallel development, and security — transforming your AI coding assistant into a virtual architect.

Deep dive into Claude Code Skills: semantic matching, storage locations, priority rules, and advanced tips. Master on-demand knowledge injection for AI coding.

Deep dive into Claude Code's leading design in agentic coding: skill script execution, CLAUDE.md imports, remote control, dynamic workflow orchestration, and why Cursor, Codex and others should adopt these features.

Deep dive into how Cursor embeds Agent capabilities into the IDE — from context awareness and planning to layered rules and surgical diff review.

Complete guide to Claude Code + Opus setup via CCSwitch for unified model management. Real-world case: payment system built in 4 hours with zero hand-written code, covering installation, Prompt engineering, and model selection.

A deep dive into Harness Engineering for AI programming, from concept to implementation. Build an enterprise Java e-commerce system using Claude Code with Skill-driven AI development pipelines.

A complete guide to Claude Code: installation, setup, natural language programming, CLAUDE.md configuration, real-world use cases, and pricing plans for beginners.

Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.

Anthropic shares four key tips for Claude Fable: assign bigger tasks, choose effort levels wisely, rewrite old instructions, and shift from tasks to goals.

AI coding costs too high? The problem isn't model pricing — it's paying repeatedly for wasted context. Discover 4 token black holes draining your budget and practical strategies to fix them.

Deep analysis of Anthropic's real-world Claude Code practices: 16 parallel Agents building a C compiler, three-role architecture for full-stack apps, smart approvals solving 93% blind approval issues, and six official best practices.

Deep dive into Claude Code's dynamic workflow mechanism covering Agent, Parallel, and Pipeline functions, six orchestration patterns, and ten real-world scenarios with cost control tips.
TutorialsSupabase's experiments show how MCP+Skills solve security gaps when AI agents operate databases, with three key principles for writing effective Agent Skills.