Kubernetes as the GPU Control Plane for AI
Observations on the evolution of AI infrastructure control planes, focusing on HAMi v2.9, GPU scheduling, and Kubernetes resource models.
AI Engineering
LLM, AI Native Infra and Agentic AI.
When GPUs Move Toward Open Scheduling: Structural Shifts in AI Native Infrastructure
A CTO/VP view on open GPU scheduling: CDI, Kubernetes DRA, virtualization data planes, ecosystem governance, and lock-in risk.
AI Learning Resources: 44 Curated Collections from Our Cleanup
A curated collection of AI learning resources we removed from the AI Resources list: awesome lists, courses, tutorials, and cookbooks. These educational materials deserve their own …
Standing on Giants' Shoulders: The Traditional Infrastructure Powering Modern AI
Before ChatGPT and TensorFlow, there was Hadoop, Kafka, and Kubernetes. This post honors the traditional open source infrastructure that became the foundation of today’s AI …
ADD Inflection Point: Spec as Core Asset
Exploring how Spec becomes the governable core asset in Agent-Driven Development (ADD) and the trend toward control-plane engineering systems.
Verdent Standalone App Hands-On
A hands-on experience with Verdent’s standalone Mac app, exploring how parallel AI agents, isolated workspaces, and task-oriented workflows change real-world development.
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.
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 …
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.