METHODOLOGY
Engineering Process
Systems thinking applied to software delivery. Optimized for reliability, maintainability, and operational clarity.
Problem Space Analysis
Map stakeholder needs to technical requirements. Identify constraints, define SLAs, and establish non-functional requirements early.
System Design
Define component boundaries, data flow, and integration points. Trade-off analysis between consistency, availability, and partition tolerance.
Incremental Delivery
Ship vertical slices with working functionality. Each iteration produces deployable artifacts with measurable outcomes.
Hardening
Chaos testing, load profiling, and security review. Validate assumptions under failure conditions before production.
Release Engineering
Progressive rollout with automated canary analysis. Instrumentation for observability from day one.
Operational Excellence
Production feedback informs architecture evolution. Reduce toil through automation and runbook development.
Process adapts to context — startup velocity vs enterprise compliance, greenfield vs legacy migration, team size and domain complexity.