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PrincipleAll Explicit Control Loops Evidence First, Measure Before You Optimize Warnings Over Errors, Graceful Degradation by Default One Config, Many Surfaces Contract-Driven Integration GitOps as the Boring Substrate

PlaybookAI-Assisted Dev Adoption Loop AI Infrastructure Readiness Audit Healthcare Integration Onboarding Agent Rollout With Guardrails

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Building a Multi-Model LLM Platform on Consumer GPUsCase studyJan 15, 2026
How I run multiple OpenAI-compatible LLM endpoints on a small K3s cluster with AMD Radeon GPUs, and what I had to do to make it stable.
Evidence First, Measure Before You Optimize GitOps as the Boring Substrate Playbook: AI Infrastructure Readiness Audit
Optimizing Real-Time Kubernetes Visualizations: From 25ms to 12ms Per FrameDec 25, 2025 · 7 min
A deep dive into optimizing Canvas 2D and Three.js visualizations for Kubernetes dashboards, covering algorithmic complexity, memory management, and GPU-efficient rendering patterns.
Evidence First, Measure Before You Optimize
Healthcare API Integration: Patient Matching & Documentation GapsCase studyDec 19, 2025
A real integration failure mode: when an API contract is implicit, patient matching becomes a risk management problem. Here is the defensive pattern (validation + contract tests + instrumentation) that makes it operable.
Explicit Control Loops Evidence First, Measure Before You Optimize Warnings Over Errors, Graceful Degradation by Default Contract-Driven Integration Playbook: Healthcare Integration Onboarding