Practical playbooks for modern engineering
AI-assisted backend engineering without losing architectural rigor.
Direct, production-grounded decision models for applied AI, backend architecture, system design, and delivery quality.
Pillars
AI Engineering
Use AI to increase leverage while preserving rigor, ownership, and production quality.
Backend
Design backend boundaries that stay understandable when teams, traffic, and product pressure grow.
System Design
Make architecture decisions with explicit constraints instead of pretending certainty.
Delivery
Protect momentum with practices that catch real risk without turning delivery into ceremony.
Flagship playbook
AI-Assisted Backend Engineering Without Losing Architectural Rigor
A senior-practitioner playbook for using AI agents and coding tools while preserving service boundaries, review discipline, and production quality.
Read playbookUse AI to increase leverage while preserving rigor, ownership, and production quality.
Selected playbooks
How I Make Architecture Decisions Without Pretending Certainty
How I question a use case before designing for it, and how I use RFCs and ADRs to make architecture decisions with imperfect information.
Designing Backend Boundaries That Survive Production Pressure
How I draw backend boundaries: non-functional requirements first, the C4 model to see how components interact, YAGNI to keep the design small, and the Boy Scout rule to keep it healthy.
Testing And Delivery Practices That Protect Momentum
A practical playbook for test strategy, PR review, CI/CD, deployment confidence, and technical debt control without delivery theater.
Talks and workshops
Bring this decision model to your team.
I turn these playbooks into talks, workshops, and internal training on applied AI, backend architecture, system design, and delivery quality.
Discuss a workshop10+ years
Backend systems in production
.NET, Node.js, TypeScript
Core stack
AWS + Azure
Cloud and platforms
EN + PT
Bilingual workshops