Bun × Anthropic: Runtime Structural Signal
Bun’s acquisition by Anthropic marks the first time a general-purpose language runtime is integrated into a large model engineering system, revealing a structural trend for AI-native runtimes.
AI Engineering
Artificial Intelligence engineering, large language models, and intelligent agent applications
Analyzing Ark from architecture, semantics, community activity, and engineering paradigms to reveal its impact on 2026 AI Infra trends and the ArkSphere community.
In-Depth Analysis of Ark: Kubernetes for the AI Era or a New Engineering Paradigm Shift?
Analysis of McKinsey’s Ark project: architecture, CRDs, control plane, design paradigms, production readiness, and implications for ArkSphere and AI infrastructure.
From Using AI to Relying on AI
AI’s real turning point is moving from using AI tools to building AI systems. Why the era of AI engineering hasn’t begun, and the developer opportunity in the next three years.
How to configure the extension marketplace, install AMP and CodeX plugins, and adjust editor settings to make Antigravity behave like VS Code for AI development.
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.