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A deep dive into engineering Vibe Coding: using Superpowers for project-level decomposition and gstack for module layering and constraints to tame AI coding assistants like Codex and Claude Code.

Learn how to orchestrate Claude Code custom commands to chain content research and social media publishing agents into a fully automated workflow with one command.

Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.

Why did Claude Code abandon RAG for Grep? Breaking down the three root causes — undiagnosability, the multiplication effect, and index staleness — behind the shift to Agentic Search.

A comprehensive guide to OpenCode, the open-source AI coding tool — covering installation (desktop/WSL), model config, rules files, custom commands, MCP extensions, and Agent SQL capabilities.

AI Agent autonomous programming is evolving from niche experiments to the industry default. This article analyzes the three stages of AI-assisted programming, its impact on developer skills, process restructuring, and key challenges.

Anthropic never released a Claude Fable 5 model. This article analyzes fake AI promotions, exposes wrapper service scam tactics, and provides tips for verifying AI claims.
TutorialsDeep dive into Harness AI Engineering: master enterprise e-commerce development with Claude Code using the Rules, Skills, Wiki, and Changes framework.

AI-generated code is costly, unpredictable, and has a 50%+ rework rate. For standardized CRUD, traditional code generators far outperform AI. Learn how to combine both tools for the optimal dev workflow.

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.

Deep dive into Claude Code + Harness AI engineering methodology, covering tech stack selection, enterprise e-commerce implementation, task decomposition, and Prompt templatization.

A complete guide for frontend developers advancing to AI architects, covering the three-tier competency framework, Codex-like agent design, agents.md configuration, Skills systems, and core AI architect capabilities.

In-depth analysis of free AI aggregator sites popular on Bilibili, exposing reverse proxy and shared account pool mechanics, data privacy risks, and safer alternatives for multi-model AI usage.

Deep dive into AI coding agent architecture: from interview-level cognition to building a Codex-like CLI agent tool, covering agents.md, Skills systems, context management, and more.

Exposing how domestic AI sharing sites use fake GPT and Claude version numbers to harvest traffic. Analysis of data security risks, service instability, and safe AI usage tips.

Deep analysis of Loop workflow recipes, Vercel's open-source Agent framework, Pyker AI-native project management, Arrow P2P tool, DBX database client, and NVIDIA's Skill Spectre security tool.

When AI code generation outpaces human review, Code Review becomes the biggest bottleneck. Learn guardrail systems, architecture constraint tests, and TDD-driven Agent development strategies.

Hands-on test of Doubao AI for debugging hidden integration bugs: parameter casing mismatches, JSON structure misalignment, and more — paste raw logs and code to get precise root cause analysis and fixes.

Explore the AI Batch Rename Tool Pro v5.0: use LLM semantic understanding to intelligently standardize file names, with multi-engine API support and dual-model collaboration.

A deep dive into OpenAI Codex CLI's core capabilities and practical usage, covering setup, agents.md configuration, slash commands, MCP protocol, multi-agent collaboration, and RAG system development.