The Butterfly Effect After Manus Was Acquired by Meta
Manus’s acquisition by Meta sparked polarized opinions. This article explores the butterfly effect in AI applications and key lessons for entrepreneurs on growth strategies.
AI Engineering
Artificial Intelligence engineering, large language models, and intelligent agent applications
2025 Year in Review: How AI Is Shifting the Focus of Software Engineering
In 2025, software engineering shifts from code-centric to runtime and cost governance. AI and Agents move complexity to runtime, compute, and budget layers, reshaping engineering value.
From Cloud Native to AI Native: Why Kubernetes Is the Foundation for Next-Gen AI Agents
Explores why AI Agents need Kubernetes infrastructure and how Agent orchestration, MCP services, and AI gateways enable production-ready AI architectures.
AI 2026: Infrastructure, Agents, and the Next Cloud-Native Shift
2026 AI’s turning point: not models, but infrastructure, agentic runtimes, GPU efficiency, and new organizational forms.
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.
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.