A practical Antigravity setup guide for developers who want a VS Code-style AI IDE, including marketplace switch, AMP and CodeX installation, and workflow tuning.
AI Engineering
LLM, AI Native Infra and Agentic AI.
NotebookLM Usage Experience and Best Practices
Based on months of deep usage, this article analyzes how NotebookLM helps me learn new technologies, read complex documents, generate teaching outlines, and shares future improvement expectations.
Kimi K2 Thinking: The True Awakening of China's Thinking Model
Kimi K2 Thinking’s open source marks China’s entry into thinking models. This article reviews its technical approach and compares it with Claude and Gemini.
TRAE SOLO vs VS Code: AI Engineering Entity Comparison
A comparison of TRAE SOLO and VS Code (Copilot, Agent HQ) via the AI Engineering Entity framework, focusing on automation, collaboration, model transparency, and engineering roles.
Closed-Source Flagships and the Open-Source Twin Phenomenon
Analysis of closed-source model acceleration and open-source ecosystem response, exploring core engineering contradictions and infrastructure evolution.
A developer’s perspective on why ChatGPT Atlas is massive, architecturally complex, fundamentally different from Chrome, and a deep dive into its Agent runtime mechanism and limitations.
Atlas Two-Week Developer Experience
After two weeks using Atlas as my main browser, I break down its architecture, workflow boosts, pain points, and future directions from a developer’s view.
KAITO and KubeFleet: CNCF Is Reshaping AI Inference Infrastructure
CNCF is standardizing AI inference infrastructure for scalable deployment in multi-cluster Kubernetes environments through KAITO and KubeFleet.
Building Efficient LLM Inference with the Cloud Native Quartet: KServe, vLLM, llm-d, and WG Serving
Essential reading for cloud native and AI-native architects: how KServe, vLLM, llm-d, and WG Serving form the cloud native ‘quartet’ for large model inference, their roles, synergy, and …
The Natural Fit Between AI Inference and Kubernetes
Explore why Kubernetes is the ideal runtime for AI inference — delivering elastic, cost-efficient, low-latency model serving with GPU-aware autoscaling, versioning, and observability.
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.
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.