#DevOps CI/CD
227 related articles
·7 min
The C Readability Crisis: Engineering Reflections Behind Clever Tricks
Why do C programmers keep creating readability disasters? An in-depth look at macro abuse, fancy pointer tricks, and over-nesting—and how coding standards, static analysis, and code review protect maintainability.
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·7 min
The Complete Guide to Agent Skills: Principles, Structure & Practical Applications
Deep dive into AI Agent Skills: SKILL.md file structure, four component modules, differences from prompts, and practical scenarios for frontend generation, PPT creation, and more.
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·6 min
Semi-AI Mode: A Practical Guide to Implementing API Automation Testing
Can't make pure AI work? This guide explores the Semi-AI approach to API automation testing, covering key challenges, enterprise framework design, and how AI and frameworks work together for maximum impact.
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·6 min
Gas Town: A Multi-Agent Workspace Manager Built in Go
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.
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·7 min
Complete Guide to OpenCode: Installation, Configuration, and Custom Commands in Practice
A systematic guide to OpenCode, the open-source terminal AI coding tool: installation methods (including WSL), model configuration, rules files, Agent types, custom commands, and MCP tool extensions.
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·6 min
Agent Studio: A Unified Platform for Authoring AI Roles and Skills
Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.
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How GitHub Manages Open Source Depende…
·4 min
How GitHub Manages Open Source Dependency Compliance at Scale: An OSPO Practitioner's Guide
GitHub's OSPO uses automated dependency scanning, policy enforcement, and transitive risk detection to embed open source license compliance into CI/CD pipelines at scale.
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·3 min
OpenHands Agent Canvas: The Central Control Console for Managing All AI Agents
Deep dive into OpenHands Agent Canvas: not another AI coding assistant, but a unified control plane for managing Claude Code, Codex, and other AI Agents with automated workflows and self-hosted deployment.
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·4 min
The Four Stages of AI Engineering Evolution: From Prompt to Loop Engineering Explained
A systematic breakdown of the four stages of AI engineering: Prompt Engineering, Context Engineering, Runtime Environment Engineering, and Loop Engineering — with core logic, bottlenecks, and real-world use cases.
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·3 min
Complete Guide to Harness Engineering: The Three-Layer Architecture for AI Engineering Development
A deep dive into Harness Engineering's core architecture covering the Information, Constraint, and Automation layers to systematically constrain and verify AI Agent output for reliable development.
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·3 min
Claude Code + Harness AI Engineering in Practice: From Methodology to Enterprise-Level Implementation
Deep dive into Claude Code + Harness AI engineering methodology, covering tech stack selection, enterprise e-commerce implementation, task decomposition, and Prompt templatization.
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·3 min
Agent PR Governance: Five New Rules for AI Code Review
Explore the five core dimensions of GitHub Copilot's Agent PR governance framework: validation, review depth, repo instructions, attribution, and release-note accountability for AI code review.
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·2 min
What Is Meta-Harness? Unpacking the Battle of AI Evaluation Frameworks
Deep dive into Meta-Harness: why AI evaluation frameworks themselves need unified management. Analyzing fragmentation, reproducibility crises, and standardization needs in AI benchmarking.
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·2 min
AI-Generated Deployment Docs + Cloudflare in Practice: The Full MokerSaaS Launch Workflow
How MokerSaaS used AI tool Cosmo to auto-generate Cloudflare deployment docs, then followed the document-driven workflow to bundle, deploy, and launch.
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·3 min
Claude Code Routines Explained: Automation in Practice with Proactive AI Coding Agents
Deep dive into Claude Code Routines: build proactive AI coding agents with time-scheduled and event-driven triggers. Covers automated docs, deploy verification, and on-call investigation.
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·3 min
Vibe Coding Practical Guide: Tool Selection, Development Workflow, and Lessons Learned
In-depth analysis of Vibe Coding methodology covering Claude Code, Cursor, and Codex tool strategies, full development workflow tips, and four key principles for avoiding pitfalls in complex systems.
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·3 min
SkillSpector: NVIDIA's Open-Source Security Scanner for AI Agent Skills
SkillSpector is NVIDIA's open-source AI Agent Skill security scanner that detects data exfiltration, malicious commands, and overly broad permissions before installation.
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·4 min
Mastering Claude Code: Five Hardcore Strategies to Transform It from Intern to Architect
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.
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·3 min
What Is AI Loop Programming? A Deep Dive into the Real Value and Hype Behind Loop Engineering
AI Loop Engineering is called a new programming paradigm, but is it truly revolutionary? This article analyzes its core principles, mathematical limitations, real-world details, and the hype behind it.
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·2 min
AI-Powered Playwright: A Beginner's Guide to Zero-Code Web Automation Testing
Compare Playwright vs Selenium, explore Playwright's DevTools Protocol speed advantages, smart locators, and AI integration via MCP for zero-code web automation testing.
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