An analysis of Block’s Goose project, why it became one of the first Agentic AI Foundation (AAIF) projects, and what this means for Agentic Runtime and the evolution of AI-Native infrastructure.
AI Engineering
Artificial Intelligence engineering, large language models, and intelligent agent applications
How ARK uses cloud-native architecture and declarative runtime to drive engineering adoption of multi-agent systems and shape the Agentic Runtime ecosystem.
Can Open Source Suddenly Disappear? An AI Chat Dev Tool Went 404 Overnight
Lunary, an open-source project in the AI DevTool space, suddenly deleted its GitHub repo, exposing the instability of commercial open source projects.
Agentic AI Foundation and AI Native Standardization
An analysis of the background, strategic urgency, differences and division of labor between Agentic AI Foundation (AAIF) and CNCF/CNAI, and its significance for the AI Native era.
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.
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.