2189 related articles

Ego Lite is a browser built for AI collaboration. Based on Chromium, it uses login state reuse and isolated Spaces so AI Agents can autonomously handle web operations, form filling, and data scraping—solving the human-machine focus conflict. macOS only.

An in-depth look at an intelligent paper writing platform built on FastAPI + Vue 3, combining LLM, RAG, and multi-Agent collaboration for full-process automation—an excellent case study for AI developers.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

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

Learned Claude, n8n, or Coze but unsure how to monetize? This article breaks down the core logic of AI automation monetization: prove business value with data, build case studies, and develop a credible personal brand.

A beginner's guide to Jenkins: its role as the CI/CD and DevOps hub, JDK requirements, and the four plugin categories (source control, build, security scanning, deployment) that power automation pipelines.

A deep dive into n8n: 500+ integration nodes, low-code visual workflows, and AI capabilities. How it compares to Dify and Coze, plus China localization challenges.

Veta is an open source AI testing agent: just describe your test goal in natural language and it autonomously plans, executes, verifies, and reports Android test results — no scripts needed.

Learn how to combine Cursor AI with Appium in a 4-step workflow—environment check, test planning, project generation, and reporting—to build mobile automation fast.

A deep dive into AI testing workflows: API capture, test case generation, Agent orchestration, and automated execution. Learn the two core challenges — incomplete information and mandatory human review.
SendLang: Rethinking Email Automation …
SendLang is a DSL for email automation that uses declarative syntax to separate trigger conditions, content templates, and send timing — tackling logic coupling in traditional email systems.

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 building verifiable, self-evolving Agent automation loops with Claude Code and Codex — covering Loop Contracts, four trigger types, three-phase execution architecture, and Evolve Loops.

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.

Google's Gemini live demo for solopreneurs and small businesses covers three core scenarios: personalized data insights, task automation, and content creativity—helping one-person companies cut costs, boost efficiency, and focus on core business.

A comprehensive guide to Ansible, the open-source IT automation platform: core architecture, design philosophy, and use cases. Learn about agentless mode, YAML Playbook syntax, idempotency, and best practices for DevOps and Infrastructure as Code.

A hands-on review of how OraAgent (AI assistant Aura) automates the entire foreign trade prospecting email workflow: auto-searching customers, prioritizing quality leads, batch-generating personalized emails, and one-click sending to cut acquisition costs.

The Baidu AI Automation System uses departmentalized skill libraries and Agent-style orchestration to let managers trigger multi-skill workflows with one sentence—no tech background needed.

The Hermes Agent gets a major upgrade with eight new features: native iMessage, parallel background sub-agents, Unreal Engine MCP support, a self-evolving Skill Hub, and more. A hands-on breakdown of the core changes and their real impact on personal AI automation workflows.