How to Use AI Agents to Optimize Image Compression with Spec-Driven Development

Specification-Driven Development (SDD) is a methodology that replaces ad-hoc Docker optimizations with a structured approach using specifications and runbooks to define and verify improvements in build processes. Utilizing Aviator's optimize_image_compression_in_build.md template, developers can set compression goals, execute automated steps, and achieve measurable improvements in Docker image size and build efficiency. AI agents facilitate this by analyzing Dockerfiles, reordering layers, and pruning large assets in a version-controlled manner, with results validated through CI/CD systems. This approach addresses issues such as bloated container builds, leading to slower CI/CD pipelines and increased maintenance, by turning optimizations into repeatable, auditable workflows that reduce manual overhead. Aviator Runbooks serve as a framework for these processes, creating a shared knowledge base that evolves with the codebase, enabling team-level collaboration in optimizing build pipelines.