Ai

The AI-native SDLC gets the bottleneck shift right. My own architecture pushes the idea further: generated artifacts are cheap, but trusted acceptance and authorized effects must remain explicit.

The internet blurred jurisdiction while corporations, data, AI, and supply chains became global. What would cooperation look like if sovereignty and the right to exit still mattered?

Could AI, shared productive capital, and resource accounting make employment optional without making society dysfunctional?

What a decade of self-hosting taught me about reliability, portability, Canadian infrastructure, and AI

A reproducible walkthrough of the Anthesis Governance Lab: 7 canonical governance scenarios, 27 broader governed-action scenarios, and 24 inference-integrity cases over recorded evidence.

A practical architecture for a prompt-driven, spreadsheet-backed CareerOps workflow: discover and rank roles, curate evidence, tailor resumes through staged prompts, and preserve human accountability while preparing for bounded Dubnium automation.

Git metadata now crosses execution boundaries in CI and agentic systems, turning familiar repository fields into potential code execution inputs.

Anthesis has shifted from one-shot agent ambitions toward governed memory, adapter abstractions, loop orchestration, SSDF enforcement, and Git-native policy verification.

A practical threat model for AI-assisted and agentic software development across requirements, architecture, implementation, testing, and operations.