1395 related articles

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.

A systematic breakdown of the three mainstream test automation approaches in the AI era: AI-generated code scripts, DOM parsing driven, and LVM visual model driven. In-depth comparison of principles, pros/cons, and use cases.

A systematic guide to Claude Code's core capabilities and environment setup, covering CLI installation, switching to domestic LLMs, project analysis, Git workflow automation, and automated bug fixing to help developers get started fast.

A systematic guide to Claude Code's core capabilities and setup, covering CLI installation, switching to domestic models, project analysis, Git workflow automation, and automated bug fixing.

A practical guide to Claude Code covering installation, Chinese LLM switching, project analysis, key commands, and conversational Git workflow automation for developers.

No coding needed: master Claude Code workflows with folder structure, sub-agents, third-party connectors, and scheduled routines to build your own AI automation OS.

A deep dive into OpenAI Codex: browser automation, Goal execution, plugins, Skills ecosystem, and coding power. Master 90% of Codex's features and transform your workflow.

A deep dive into the four-layer engineering design of AI Agents: planning, memory, tool use, API cost optimization, MCP protocol integration, and Skill encapsulation.

A developer built Manifest Studio to automate the full pipeline from AI code generation to app deployment, using a Skill mechanism for one-sentence publishing.
Codex Record & Replay Explained: Turni…
OpenAI Codex's Record & Replay turns real screen workflows into reusable AI automation skills. A deep dive into how it works, its use cases, limitations, and what it means for AI agents.

Deep dive into n8n, the open-source workflow automation platform: 400+ integrations, native AI capabilities, and dual code/visual modes. Covers deployment, AI Agents, community templates, and more.

Complete guide to OpenAI Codex covering installation, permission setup, project management, skills reuse, plugin extensions, and automation tasks to turn Codex into a true project collaborator.

Deep dive into OpenAI Codex's Record and Replay feature: generate reusable automation Skills through screen recording demos. Covers workflow, skill invocation, RPA comparison, and real-world use cases.

Deep dive into Claude Code Hooks: covering five event types, auto-formatting, dangerous operation blocking, and team collaboration best practices for deterministic AI coding.

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.

Compare Playwright vs Selenium, explore Playwright's DevTools Protocol speed advantages, smart locators, and AI integration via MCP for zero-code web automation testing.

Deep dive into OpenAI Codex desktop's three core capabilities: AI coding & debugging, browser automation, and computer/iPhone control. Includes ChatGPT comparison and membership tips.

Explore Playwright's core advantages including DevTools Protocol architecture, smart locators, and high-concurrency support, plus how to achieve zero-code automation testing with AI via MCP.

Hands-on test of OpenAI Codex Computer Use: automating the full workflow from feature development, code push, DMG packaging to GitHub Release publishing, with comparison to Claude Computer Use.

Deep dive into Codex Hooks' six lifecycle hook types, covering configuration, local vs global hooks, and practical use cases like security interception and auto-summarization for full AI workflow control.