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Every blog post and case study on the site with the principles and playbooks each piece argues for. Filter by any principle or playbook to see just the evidence behind it.
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5 items- Loom-Mode MCP for Advanced, Fast AI-Assisted Dev (Go-Native, Proxy+Daemon)Feb 9, 2026 · 7 min
How to keep AI-assisted development fast and token-efficient: one proxy entry, a Go daemon that routes calls, and a small set of Go-native MCP servers.
A case study in healthcare integration: how Source Profiles, a three-phase parsing pipeline, and a workflow DSL turn messy legacy formats into semantic events.
- Deploying MLC-LLM on Dual RX 7900 XTX GPUs: Debugging VRAM, KV Cache, and K8s GPU SchedulingJan 4, 2026 · 12 min
What actually broke when I deployed MLC-LLM across two RX 7900 XTX nodes, and the fixes that made it stable: quantization, KV cache sizing, and Kubernetes GPU hygiene.
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.
- Building Practical AI AgentsNov 15, 2025 · 4 min
What makes an AI agent reliable in production: explicit loops, bounded tools, and visible operator state.