The archive, mapped
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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8 items- A One-Page AI Usage Policy That Actually WorksApr 20, 2026 · 8 min
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.
- The First 90 Days: Introducing AI-Assisted Dev to a New TeamApr 20, 2026 · 9 min
How I would roll out AI-assisted development on a team that has not standardized: what to do in week one, what to earn the right to argue about later, and what almost always goes wrong.
- Build Your Own Legs Before the Crutches FailMar 9, 2026 · 14 min
AI-assisted development is useful leverage, but only if you convert borrowed competence into real judgment before the support becomes a dependency.
- Repo Design Patterns for AI-Assisted Dev: Control Loops, Hooks, and MemoryFeb 9, 2026 · 5 min
Treat your repo like a control system: instruction hierarchy, workflows, hooks, and shared memory that make AI-assisted dev fast, reproducible, and hard to derail.
- SLOs for Inference: Latency, Errors, SaturationDec 29, 2025 · 6 min
How to define meaningful SLOs for production inference workloads, and what to do when they break.
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.
How I built FlexDeck, a full-stack operations dashboard with real-time K8s monitoring, GitLab CI/CD visualization, and AI model management using Go and SolidJS.