GitHub Copilot CLI Custom Agents Practice
Learn how to build custom AI assistants with GitHub Copilot CLI Agents to automate tasks, optimize workflows, and boost productivity in your command-line environment.
AI Engineering
Artificial Intelligence engineering, large language models, and intelligent agent applications
From Kubernetes to Qwen: How "Open Source" Has Changed in the AI Era
Exploring the transformation of open source in the AI era, from Kubernetes to Qwen, and revealing the fundamental differences and new opportunities in open source strategies between China and the US.
YAML to Markdown: Exploring Specification Driven Development and AI-Native Paradigms
Exploring the evolution from YAML to Markdown, revealing how specification-driven development in the AI-native era reshapes the behavior and collaboration of intelligent agents.
AI Resource Library Update: 500+ Projects, New Scoring & Display Enhancements
Discover the latest updates to our AI Resource Library, featuring 500+ projects, enhanced filtering, and a new scoring system for efficient project evaluation.
Cloud Native Enterprise Transformation: In-Depth Analysis of the AI-Native Era
An in-depth analysis of the transformation paths of cloud native enterprises in the AI-native era, exploring the impact of generative AI on the industry and future trends.
Chrome DevTools MCP: A New Era of Frontend Automation
The launch of Chrome DevTools MCP and Playwright MCP marks a new stage in frontend automation, enabling AI assistants to deeply control and debug browsers for an unprecedented developer experience.
Key Factions of AI IDEs: Spec, Patterns, Cloud, and Model Choices
Explore the key divides in AI IDEs—how spec-driven workflows, pattern design, cloud integration, and model selection shape developer choices and engineering outcomes.
The New Era of Cloud Agent Infrastructure: In-Depth Analysis of E2B and Browserbase Global Trends
Explore the new era of cloud agent infrastructure with an in-depth analysis of E2B and Browserbase’s technical architecture and global trends, empowering the future of AI Agents.
Understanding MCP: A USB-Like AI Extension Protocol
Deep dive into Model Context Protocol (MCP), exploring its extension capabilities in AI applications with USB-like interface design that helps developers boost efficiency.
Qoder: Alibaba's AI IDE – A Comprehensive Personal Review of Its Capabilities and Future
An in-depth personal experience with Alibaba’s latest Qoder AI IDE, exploring the revolutionary features and future prospects of the Agentic Coding platform.
Technical Evolution: From Big Data to AI Agents
A comparative analysis of stream data processing in the big data era versus today’s AI-native agent workflows, featuring case studies and trend insights from Dataiku, IBM StreamSets, and n8n. Explores technological evolution and convergence.
n8n Deep Dive: Architecture, Plugin System, and Enterprise Use Cases
An in-depth analysis of n8n’s evolution, technical architecture, plugin system, extension methods, and enterprise use cases, evaluating its advantages and long-term investment value as an open-source low-code AI workflow platform.