The AI Native Software Stack: How Application Architecture Is Evolving
The traditional frontend-backend-database stack is evolving. AI agents, orchestration layers, and knowledge bases are changing how applications are built.
Tag
Vector Storage
3
Essays
Future of Dev 
AI Systems Context Windows: The Hidden Constraint Shaping Every AI Application
Understanding context windows is essential for building AI systems that actually work. Here is why this constraint matters more than model size, and how to design around it.
System Blueprints Building AI-Ready ETL Pipelines: Embeddings, Chunking, and Vector Storage
AI systems need data structured for embeddings and vector storage. Traditional ETL stops at the database. AI-ready ETL continues to the vector store.