How to test whether a layered agentic workflow preserves context, responsibility, verification, and recovery for a solo developer.
AI-assisted software, built with discipline
Building serious software with AI, without outsourcing judgment.
A public learning log about architecture, trust boundaries, reviewability, state, and product judgment in AI-assisted software development.
I come from enterprise procurement and IT governance, and I write about what changes when that judgment meets hands-on software building with AI.
Recent notes from the work
Articles
Why an agentic factory is an architecture of responsibility, evidence, and boundaries—not a stack of tools or a more powerful coding agent.
AI makes software cheaper to explore and build, but not equally cheap to understand, secure, review, and own.
Why tenant scope is an authority boundary, and how RequestContext makes multi-tenant trust explicit and enforceable.
Agent memory is a scoped service layer, not runtime state owned by an agent instance.