Articles & writing

Notes from the work.

White papers, field notes, and lessons learned. Published observations on AI, enterprise architecture, and what it actually takes to ship technology at scale.

From AI Curious to AI First: A Practical Roadmap for Engineering Managers
White paper·Aug 2026·7 min read

From AI Curious to AI First: A Practical Roadmap for Engineering Managers

A field-tested maturity model for engineering managers adopting AI — four stages from Reactive Support to Governed AI-First, with a use-case selection checklist, metrics framework, and hard-won lessons.

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PR Impact Analysis: What It Is and Why It Changed Our Sprint Cadence
Field note·Jun 2026·7 min read

PR Impact Analysis: What It Is and Why It Changed Our Sprint Cadence

PR impact analysis moves risk assessment upstream into pull requests, automating the coordination overhead that justified sprint batching. This decouples release cadence from calendar intervals, enabling teams to ship when code is ready rather than when sprints end.

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Field note·May 2026·5 min read

Evaluation is the product. Everything else is decoration.

Why every AI feature I ship now starts with the eval set, not the prompt. A short brief on what changes when you reverse the order.

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White paper·Apr 2026·8 min read

A reference architecture for LLM features inside enterprise SaaS.

Identity, audit, fallback, evaluation, and cost — the five concerns that an LLM feature in a regulated product has to answer on day one.

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Lessons learned·Mar 2026·6 min read

I retired a six-year-old service this quarter. Here is what it taught me.

Notes from decommissioning a system I designed in 2020. The parts that aged well, the parts that did not, and the line between the two.

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Field note·Feb 2026·5 min read

Specs are written for the team that has to maintain the work.

A short argument for spending more time on the document and less time on the meeting that produced it. With a template.

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Talk·Jan 2026·7 min read

The org chart is a latency diagram. Build it that way.

A talk on how reporting lines, on-call rotations, and team boundaries become the dominant constraint on what software you can actually ship.

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Lessons learned·Dec 2025·6 min read

A year of small AI bets. The ones that paid, and the ones that did not.

A measured retrospective on twelve internal AI experiments. Three shipped, two are still running, the rest got a quiet funeral.

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