Field Notes
Writing
Practical essays on AI adoption, engineering leadership, digital platforms, reliability and the operating systems that help teams ship useful work.
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AI Code Review Guardrails That Senior Engineers Actually Respect
A risk-tiered framework for keeping humans accountable, evidence inspectable and AI tools inside explicit authority boundaries throughout code review.
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From Hackathon to Production: An AI Productionisation Playbook
A viability rubric, governance model and production-readiness sequence for moving a promising AI experiment into a safe, observable and reversible service.
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The 48-Hour Laboratory: Why Hackathons Are the Missing Operating System for AI Experimentation
AI adoption does not fail because organisations lack intelligence. It fails because our learning loops are too slow...
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Respecting the Craft: How to Convince Software Engineers to Use AI Without Trivialising Their Work
The hardest part of AI adoption in software engineering is no longer the models...
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Scaling AI Engineering Teams: Culture, Ownership and the Courage to Explore
Building high-performing AI teams requires more than technical expertise...
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Leading Distributed AI Teams: Async Trust and Outcome-First Culture
Remote AI teams need different communication patterns...
More field notes coming as the work evolves.