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Software
Architecture
Designing resilient systems where product intent and technical structure stay aligned.
Building for an AI-native world
Lyong
Kim
Software Architect
Cloud Native
AI Native Development Expert
Core expertise
Three connected disciplinesSoftware
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Cloud
Native
Building adaptable cloud foundations for teams that need to move with speed and confidence.
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AI Native
Development
Reframing software around intelligent workflows, agents, and human–AI collaboration.
Architecture library
D1-backed field notes and case studiesWorking knowledge
Notes from
systems in motion.
Practical observations on software architecture, cloud platforms, and AI-native delivery—kept as a living body of work.
AI-Native Delivery Operating Model
A delivery model that treats AI as a participant in the software lifecycle, not a bolt-on feature.
Read entry ↗Cloud Platform as Product
Turning cloud foundations into a paved road teams can adopt, understand, and improve.
Read entry ↗Architecture Is a Conversation About Change
Good architecture makes the next important change safer, clearer, and less expensive.
Read entry ↗Explicit Boundaries for Agentic Systems
Agentic behavior becomes dependable when authority, context, and verification are designed explicitly.
Read entry ↗STO Study
STO
Read entry ↗Point of view
Systems,
not silos.
The most valuable architecture connects technical foundations, product direction, and intelligent capability into one evolving system.
Understand context
Start with the forces shaping the product, team, and business.
Architect foundations
Create clear boundaries and platforms built for continuous change.
Amplify with AI
Place intelligence where it meaningfully improves the system.
Design×Cloud×Intelligence
Software architecture / cloud / AI