The Journal
Essays
Long-form writing on AI, philosophy, psychology, and systems thinking.
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Conway’s Law Never Stopped Being True
Conway's Law predicts that architecture mirrors team communication. 57 years later, ignoring it remains the root cause of most architectural failures.
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The Consulting Operations Paradox
The most valuable consulting intervention in 62% of cases was removing something. Yet consulting economics reward building over removing.
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The Spiritually Dispossessed Workforce
The modern workforce is not merely exhausted but spiritually dispossessed, stripped of the connection between daily labor and existential purpose. The deepest workplace dysfunction is not structural but existential.
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The Modular Monolith as Stoic Discipline
Architectural simplicity is not a concession. The modular monolith demands more discipline than microservices and delivers more reliability for most teams.
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Context Engineering Is the New Systems Design
Context engineering treats what information reaches an LLM as an architecture problem. It reduced hallucination rates 41% across 3 enterprise deployments.
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The Ethics of Outsourcing Judgment to Machines
Delegating judgment to algorithmic systems transfers decision-making from morally accountable agents to probabilistic systems that bear no responsibility. The ethics of outsourcing judgment is an operational reality every systems builder confronts.
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The Decaying Half-Life of Synthetic Code
AI-generated code has a measured functional half-life of 4.7 months, decaying approximately twice as fast as human-written equivalents. Generated code lacks the contextual understanding that enables adaptive maintenance.
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Why Automation Amplifies Process Failures
Automation does not fix broken processes; it accelerates them. After mapping a 9,000-step workflow, 2,100 steps existed solely to correct errors from earlier steps. Automating would encode those errors at machine speed.
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Signal Extraction in an Age of Information Obesity
The abundance of available information has not produced better decisions. Organizations drowning in data are not those with too little information but those without a framework for deciding what information matters.
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Fault Tolerance as an Organizational Principle
Fault tolerance is an organizational principle: the capacity to continue functioning when individual components fail. Organizations most vulnerable to disruption concentrate critical knowledge in single individuals rather than distributing it.