Why LLMs Drive Microservice Proliferation

LLM-assisted coding naturally gravitates toward microservices because their well-defined interfaces create safe zones for AI-driven refactoring without risking implicit coupling found in monoliths. However, organizational pressures—faster review cycles, easier infrastructure access—accelerate microservice adoption beyond architectural soundness, creating long-term maintenance challenges. This tension highlights a critical decision point for teams: balancing the velocity gains from AI assistants against the hidden costs of architectural sprawl.