Deploying AI agents in Docker containers can quickly turn into a resource nightmare with bloated images slowing down performance and inflating costs. This guide uncovers the hidden expenses of oversized containers and provides actionable strategies to slim them down without compromising security or functionality. Learn how multi-stage builds, dependency trimming, and tools like Dive can transform your AI deployment pipeline into a lean, efficient powerhouse.