Beyond JIT: Engineering a High-Performance Interpreter from Scratch

This post demonstrates that massive performance gains in dynamic languages can be achieved through fundamental architectural optimizations rather than complex JIT compilers. By implementing techniques like Inline caching and NaN tagging, a simple AST-walking interpreter can rival established runtimes like CPython and Lua, offering a blueprint for efficient language design.