Building Scalable AI Systems: From Prototype to Production
Practical strategies for taking AI applications from proof-of-concept to production-grade systems that handle real-world load and complexity.
Thoughts on software engineering, AI, cloud, and modern digital product development from the DevStout team.
Practical perspectives on building and scaling modern technology products.
Practical strategies for taking AI applications from proof-of-concept to production-grade systems that handle real-world load and complexity.
How decoupling content from presentation unlocks faster frontends, better developer experience, and omnichannel content delivery.
Real-world tactics for reducing cloud spend while maintaining performance, availability, and team velocity in Kubernetes and serverless environments.
Architectural and tooling choices that keep React Native codebases performant, testable, and easy to evolve as product requirements change.
How to design REST and GraphQL APIs that stay consistent, version cleanly, and support internal and external consumers as your platform grows.