White Papers & Technical Resources
Deep dives into how we engineer software - methodologies, toolchains, and lessons learned.
Specification-First Engineering
The AI-Augmented Development Lifecycle
How we use structured specification workflows and AI-augmented toolchains across 7 lifecycle phases to deliver 2-3x faster with fewer defects. Covers the full methodology, recommended tools (Kiro, Claude Code, GitHub Spec Kit), and the tradeoffs we've learned shipping with this approach.
Migrating Large-Scale Systems to the Cloud
A Risk Framework and 93-Point Operational Checklist
Cloud migration is six interconnected risks that compound under pressure. This white paper distills those risks, compares two approaches to managing them, and provides a prioritized 93-point checklist any team can adopt immediately - organized by impact, tagged by domain, and validated through failure injection.
How We Modernized a Critical Infrastructure Platform With Zero Downtime
From Lift-and-Shift to Cloud-Native Performance
Most cloud migrations start with lift-and-shift. The workload runs in the cloud, but the architecture and bottlenecks came along for the ride. This paper covers the five constraints that survive migration, the modernization spectrum, and the cloud-native patterns that deliver measurable results.
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Engineers
Using AI-augmented development daily
Client Retention
Partners, not vendors