Technical notes on healthcare integration, platform reliability, and the tradeoffs behind the work. The longer delivery write-ups are in the case studies.
16 posts, newest first
revised Sep 12
Professional · 9 min read
I put fi-fhir and edilint through Mills for the first time. It merged work I did not write, then exposed a test gate passing on the wrong tree and fixed it against itself.
ai-agents · mills · loom · fi-fhir
revised Sep 12
Lab · 6 min read
MCP shipped a breaking specification revision. I wrote the gap analysis, filed it as factory backlog, and Mills started rebuilding the SDK it runs on.
mcp · ai-agents · loom · mills
revised Sep 13
Professional · 4 min read
A design pattern for supervised AI investigations: scoped read access, reviewed drafts, and failure tests before expanding permissions.
ai-agents · llm · guardrails · mcp
revised Sep 12
Professional · 5 min read
Four defect classes that healthcare interchange parsers can accept silently, with synthetic samples, real linter output, and the pre-send gate that catches them.
healthcare · edi · x12 · validation
revised Sep 12
Lab · 12 min read
A twin-lane canary promoted prefix caching, FP8 KV cache, and a larger context pool while catching five regressions before they reached the primary workload.
flexinfer · prefix-caching · fp8 · speculative-decoding
revised Sep 12
Lab · 13 min read
How five simulated minds share one 24 GB Radeon, keep 200K-token life histories, reuse them through prefix caching, and compact old memories without erasing continuity.
flexinfer · long-context · multi-agent · prefix-caching
revised Sep 12
Lab · 5 min read
Needle-retrieval tests on a 35B model passed near 63,000 prompt tokens and failed at longer contexts, even when vLLM loaded without a memory error.
flexinfer · vllm · long-context · rope
revised Sep 12
Professional · 8 min read
A 90-day rollout for AI-assisted development: start with bounded habits, measure the work, and standardize only after the team has evidence.
agents · ai-assisted-dev · adoption · team-practice
revised Sep 12
Professional · 4 min read
A short, adoptable AI usage policy for engineering teams: what to put on the page, what to leave off, and why the policy matters less than the habits it makes explicit.
ai-assisted-dev · policy · team-practice · governance
revised Sep 12
Lab · 8 min read
Field notes from serving Gemma 4 E4B on Radeon: the stable TRITON path, an experimental TurboQuant long-context lane, and the GPTQ work still in progress.
gemma4 · amd · radeon · 7900xtx
revised Sep 12
Professional · 13 min read
How I use AI drafts to build engineering judgment through inspection, regression tests, code review, and repeatable release checks.
ai-assisted-dev · engineering · agents · developer-workflows
revised Sep 12, 2026
Professional · 5 min read
Field notes from building and operating a small private GPU platform with Harvester, K3s, and a GitLab -> Flux delivery loop.
case-study · platform-engineering · kubernetes · k3s