Architecture Before Automation
AI-assisted development scales reliably only when system boundaries, data models, and operating rules are clear first.
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Kyluke McDougallSoftware Development & Integration
We design and build backend systems that teams can reason about: APIs, data models, background jobs, integrations, deployment paths, and cloud infrastructure with the failure modes considered early.
What we deliver
01
API design & development
02
Database architecture & optimization
03
Cloud infrastructure & DevOps
04
Multi-tenant SaaS architecture
05
Subscription & billing integration
06
Third-party service integration
Technology
Go (Golang)Node.jsPostgreSQLRedisDockerKubernetesStripe
Our approach
Your backend should be invisible to your users — reliable, predictable, and built to scale from ten users to ten thousand without rearchitecting.
Selected insights
Software architecture and operations
System boundaries, backends, cloud infrastructure, and decisions that keep software maintainable.
Read the analysis
AI Coding Agents Need Architecture They Can Read
AI-assisted development becomes safer when architectural decisions, constraints, and review rules live inside the codebase.
K
Kyluke McDougall
When 130 SaaS tools become an architecture problem
SaaS sprawl, shadow IT and API chaos are not just IT housekeeping. They shape security, operations, data quality and the speed of the business.
K
Kyluke McDougall