#Observability
3 notas · última:
9 Observations from Building with AI Agents
The author shares nine lessons from building AI agent systems, covering model choice, fine-tuning, static typing, team critique loops, prompt management, logging, and the cost-performance tradeoffs of current models.
15 Must-Know Elements of System Design
The post groups core system design elements into distributed systems, messaging, caching, scaling, networking, storage, and observability, and explains what each one does in a distributed setup.
Do you really need a Staging environment?
The article weighs staging against faster, simpler release flows and argues that staging often adds cost, complexity, and delay. It keeps value mainly for hard data workflows and complex infrastructure.