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.
Blog
In-depth articles and insights on open source, AI, cloud-native, DevOps, and software engineering.
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.
Cloudflare November 18 Global Outage: The Dangers of Implicit Assumptions in Modern Infrastructure
An analysis of the Cloudflare global outage on November 18, 2025, exploring implicit assumptions, automated configuration pipelines, and systemic risks in modern infrastructure.
The Second Half of Cloud Native: The Era of AI Native Platform Engineering Has Arrived
A decade of cloud native evolution, a look ahead to AI-Native Platform engineering, technical layers, and key changes. KubeCon NA 2025 signals a new era.
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.
An analysis of Helm 4’s core changes, including Server-Side Apply, WASM plugin system, kstatus status model, reproducible builds, and content hash caching, with a timeline review of Helm’s …
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.
Inference Traffic Control with Gateway API Inference Extension
Exploring how Gateway API Inference Extension brings model-aware inference traffic control through InferencePool, InferenceObjective, and metrics-driven routing.
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.