productionization

2 items

ARTICLEDEV.to AI·4/20/2026

The infrastructure gap between prototype and production, and how we closed it

This article discusses the gap between AI-built app prototypes and large-scale production, where a lack of robust infrastructure, CI/CD, and data ownership leads to costly rebuilds. It highlights that AI builders prioritize iteration speed, neglecting durability and compliance requirements for production.

productionization Scalability infrastructure AI development

ARTICLEDEV.to AI·5/2/2026

Why Most AI Startups Fail at Productionization

Most AI startups fail at productionization, not because of weak models, but due to the significant challenges in moving from prototype to a production-grade system. This often stems from underestimating constraints like reliability, latency, and cost control, alongside a critical lack of robust data infrastructure to handle continuous data ingestion and validation.

productionization Data Infrastructure startups AI development