Container Diet

Container Diet fills a specific niche: developer-first image optimization without a cost barrier. If you're already comfortable in the terminal and want quick, actionable feedback on why your images are bloated, it's hard to beat at $0. The AI integration is the main draw — it doesn't just list problems, it explains them in plain language and can generate a fixed Dockerfile. That's a meaningful time-saver when you're staring at a 1.2 GB image and don't know where to start. Where it bites: no GUI, no runtime monitoring, and no enterprise support. If you need a visual dashboard or someone to call when things break, this isn't it. It also assumes you know Docker basics — beginners will stumble. Compared to Snyk or Trivy, which are more comprehensive but cost money, Container Diet is a lean, free alternative. It won't scan running containers or give you a compliance report, but for a quick pre-deployment check, it does the job. For teams already using AI coding assistants, the MCP integration is a standout — you can get container advice without leaving Claude Desktop or Cursor. That's a workflow win that paid scanners don't offer. In practice, use it in CI/CD to catch bloat early, or run it locally before pushing an image. Just remember it's a scanner and suggestor, not a babysitter — you still need to review its suggestions and test the resulting image. If you need runtime monitoring or enterprise-grade support, look elsewhere. But for a free, opinionated tool that speaks your language, it's worth a try.