#YAML agent loop
86 related articles
·3 min
Deep Dive into How Claude Code Works: Prompt Assembly, Permission Control, and the Skills Mechanism
Deep dive into Claude Code internals: stateless model principles, four-layer prompt assembly, Agentic Loop execution, permission control, and reusable Skills workflow templates for agentic engineering.
Read more →
·3 min
Cursor Auto-Review Mode Explained: Smart Tiered Approval for More Efficient AI Programming
Cursor launches Auto-review mode with smart risk assessment for tiered approval. Low-risk operations auto-approve while high-risk ones need manual confirmation.
Read more →
Tutorials·2 min
Claude Code in Practice: Engineering Guide for AI-Powered API Test Automation
A deep dive into engineering Claude Code for API test automation, covering environment setup, Skill development, tool encapsulation, and Harness Engineering methodology.
Read more →
Tutorials·3 min
The Complete Guide to Hermes Agent: Building a Self-Evolving AI Assistant from Scratch
Complete guide to Hermes Agent's five core pillars: Memory, Skills, Soul, Crons & self-evolution. Covers VPS deployment, Telegram setup, security management & best practices for building an AI assistant that grows stronger over time.
Read more →
Tutorials·3 min
Frontend AI Full-Stack Development in Practice: Building Multimodal Applications with PNPM MonoRepo Architecture
A practical guide to frontend AI full-stack development covering PNPM MonoRepo architecture, TurboRepo build optimization, and LangChain multimodal applications with Ollama local model deployment.
Read more →
Tutorials·3 min
Getting Started with Cursor Hooks: Master Automated Workflow Configuration in 5 Minutes
Learn Cursor Hooks structure, configuration, and practical use. From trigger events and matchers to scripting permission popups, auto-testing, and more.
Read more →
Tutorials·3 min
Vibe Engineering in Practice: AI Evolves from Code Generator to Programming Teammate
A deep dive into Vibe Engineering principles: context engineering, sub-agent collaboration, autonomous testing loops, plus OpenAI's case study of a 12-hour Kotlin-to-Rust rewrite.
Read more →
Tutorials·3 min
Deep Dive into Claude Code SDK: A New AI Programming Paradigm for Auto-Writing Code and Reviewing PRs
In-depth analysis of Anthropic's Claude Code SDK & GitHub Action: piping, structured output, permissions, session resumption, and fully automated Issue-to-PR workflows.
Read more →
Product Reviews·1 min
ECC: A Unified AI Programming Operating System for Claude Code, Codex, and Cursor
ECC (Enhanced Claude Code) is an open-source AI programming OS that unifies Claude Code, Codex, and Cursor through a five-layer architecture with 246 skills, 61 Agents, and selective installation.
Read more →
Tutorials·1 min
SourceCheck: Replace Copying with Citations to Build Verifiable and Trustworthy LLM Output
SourceCheck is an open-source tool that replaces bulk copying with metadata citation protocols, combining deterministic verification and self-correction loops to solve LLM hallucination problems.
Read more →
Tutorials·2 min
Oz Platform in Practice: A Complete Configuration Guide for AI Agents That Auto-Earn Money and Fix Bugs
Complete guide to Oz agent orchestration: AI agents auto-update Udemy coupon pages for $1K+/month passive income and auto-fix GitHub bugs via triggers, environments, and skills.
Read more →
Product Reviews·2 min
Feishu Lark CLI Open-Source Review: An AI Automation Tool That Lets Claude Code Directly Control Feishu
Feishu open-sources Lark CLI for AI Agents like Claude Code to control Feishu via terminal. Covers 200+ commands and 19 Skills with 5-minute setup, outperforming OpenClaw in usability and coverage.
Read more →
Product Reviews·1 min
Tracea: Open-Source Observability Platform for AI Agents with One-Click Self-Hosted Deployment
Tracea is an open-source AI Agent observability platform offering end-to-end tracing, cost monitoring, automated RCA, and a team memory system. Self-hosted via Docker with data staying on-premise.
Read more →
Tutorials·2 min
How Insane Is AI Coding for Game Dev? One Month, One Card Game Clone, 100K Lines of Code
A developer used AI Coding tools to clone the card game Grand Bazaar in one month with 500 commits and 100K lines of code. Key methods include documentation-first strategy and Agent pipelines.
Read more →
Tech Frontiers·3 min
AI Test Development Learning Path: A Practical Guide from Prompt Engineering to RAG Knowledge Bases
A systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
Read more →
Tutorials·2 min
OpenCode in Practice: Building a Fully Automated YOLOv8 Object Detection Pipeline with Zero Code
Learn how to use OpenCode's Skill model to automate the entire YOLOv8 object detection workflow — from camera recording and auto-annotation to training and real-time detection — with zero code in just two hours.
Read more →
Tutorials·4 min
Harness Engineering in Practice: A Three-Layer Architecture for Taming AI Agent Development
A detailed guide to Harness Engineering's three-layer architecture for controlling AI Agent code generation quality, covering the Information, Constraint, and Automation layers with practical setup and pitfall avoidance tips.
Read more →
Deep Dives·3 min
Google Agent Platform Deep Dive: Building Production-Grade AI Agents with ADK, MCP, and A2A
Deep dive into Google Cloud Next 2025's Agent Platform: ADK framework, MCP integration, A2A multi-Agent collaboration, context engineering, security governance, and a marathon simulation demo.
Read more →
Tutorials·3 min
Grammar-Constrained Decoding: A Practical Guide to Generating Reliable Bash Code with Small Models
Deep dive into Grammar-Constrained Decoding (GCD) technology: applying Bash syntax constraints during inference to dramatically improve small language models' code generation correctness and executability for AI Agent edge deployment.
Read more →
Tutorials·4 min
Gemini CLI Custom Commands Tutorial: Complete Workflow from Creation to Practice
Complete guide to Gemini CLI custom commands with a UI component generation example. Covers TOML configuration, parameter passing, TDD workflow integration, and best practices for reusable automation.
Read more →