Essays

The first principles of system design: What software architecture can learn from philosophy

Designing for Graceful Degradation in Uncertain Environments

Systems designed for graceful degradation recovered user-facing functionality 8.4 times faster during major cloud outages than all-or-nothing systems. Degradation is honest architecture.

The architecture of meaning: How the tools we build shape what we think is possible

Tillich’s Ultimate Concern and the Idol of Productivity

Paul Tillich defined idolatry as elevating a finite thing to ultimate significance. When 61% of technology workers measure self-worth by productivity, productivity has become the industry's idol.

The Absurdity of Optimizing Deprecated Systems

The average enterprise system lives 6.2 years before deprecation. Camus's absurdism reveals that meaning in engineering comes not from permanence but from the quality of the work itself.

The Ethics of AI Art Is a Labor Economics Problem

An estimated 26% of commercial illustration work has been displaced by AI image generation since 2023, with losses concentrated among early-career artists. This is a labor economics problem, not a copyright debate.

The Difference Between Data and Evidence

In a review of 30 data-driven proposals, 22 presented data as evidence without the analytical chain from observation to inference. The gap is analytical rigor.

The Regulatory Gap Between AI Capability and Governance

The average gap between AI capability deployment and regulatory response is 26 months. During that gap, organizations have a moral obligation to self-govern rather than exploit the vacuum.

Designing systems for resilience, not optimization

Red Teaming AI Systems Is Not Optional

Only 4 of 23 AI systems evaluated had undergone adversarial testing. Untested systems averaged 3.7 exploitable vulnerabilities including prompt injection and data extraction paths.