A practical guide to reproducible builds, faster CI pipelines, and debuggable containers for Go engineers Most Docker + Go tutorials end the same way: “Use multi-stage builds, switch to Alpine, done.” That advice works until it doesn’t. At scale, different problems show up: CI pipelines slow down unpredictably Builds stop being reproducible Debugging minimal containers becomes painful Monorepos destroy Docker cache efficiency This article focuses on what actually matters in production: 👉 reproducibility, caching, and operability 🔍 How Docker + Go Builds Actually Work Before optimizing, it helps to visualize what’s happening.…