Understand the operating system
Start with the real business workflow, its owners, failure modes, data, and production constraints before choosing an implementation.
Engineering Principles
How I make software decisions.
Principles for building and modernizing systems where architecture, product behavior, security, and production operations have to agree.
Make boundaries explicit
Put authorization, tenancy, subscription state, editorial decisions, privacy, and integration behavior behind visible application boundaries.
Prefer reversible progress
Use small reviewed changes, backups, focused tests, exact commits, observable releases, and credible rollback paths.
Treat production as part of the product
Runtime compatibility, configuration, permissions, migrations, caches, certificates, logs, and service health are engineering responsibilities.
Use evidence, not theatre
Document what was verified, distinguish active development from release, and omit metrics or outcomes that cannot be supported.
Keep AI accountable
AI-assisted workflows can accelerate engineering, but architecture, privacy, review, tests, and release decisions remain human-accountable.
Evidence over claims
The project case studies show how these principles change architecture, release gates, confidentiality boundaries, and roadmap decisions.
Review engineering case studies