AI Serialization Skill for Go - High Performance, Zero Boilerplate

I wanted to share a quick story about a weekend experiment. There is a library called mok that lacks a code generator, so every time you want to mock an interface, it requires you to write all the boilerplate yourself. It's simple but tedious work. I usually just offload it to an AI agent, and with a small example, it completes this task exceptionally well. This got me thinking - could AI handle something more complex, like writing serialization code? If it could, we'd basically get the best of both worlds: the raw speed of generated code, with the same simplicity you get from reflection-based libraries. But is it safe to trust AI with something as sensitive as serialization logic? With all its non-determinism and unpredictable behavior, the answer is more likely a hard "No", unless we enforce two strict requirements: Provide a solid foundation — give the AI a robust library to work with. Test everything — all AI-generated code must be rigorously tested. With those guidelines in place,