Writing A Compiler In Go

Коротко и по делу о том, что важно знать про monkey.

We're picking up right where we left off and write a compiler and a virtual machine for Monkey.Runnable and tested code front and center, built from the ground up, step by step — just like before. This is the sequel to Writing An Interpreter In Go. But this time, we're going to define bytecode, compile Monkey and execute it in our very own virtual machine. It's the sequel to … a programming language. It's the next step in Monkey's evolution.

In this book, we use the codebase (included in the book!) from the first part and extend it. Writing A Compiler In Go is the sequel to Writing An Interpreter In Go.It starts right where the first one stopped, with a fully-working, fully-tested Monkey interpreter in hand, connecting both books seamlessly, ready to build a compiler and a virtual machine for Monkey. We take the lexer, the parser, the AST, the REPL and the object system and use them to build a new, faster implementation of Monkey, right next to the tree-walking evaluator we built in the first book.The approach is unchanged, too. Do you need to read the first part before this one? Working, tested code is the focus, we build everything from scratch, do baby steps, write tests firsts, use no 3rd-party-libraries and see and understand how all the pieces fit together.It's a continuation in prose and in code. If you're okay with treating the code from the first book as black box, then no. You'll have the best understanding of where we're going in this book, if you know where we started. But that's not what these books are about; they're about opening up black boxes, looking inside and shining a light.

We change its architecture and turn it into a bytecode compiler and virtual machine.We'll take the lexer, the parser, the AST and the object system we wrote in the first book and use them to build our own Monkey compiler and virtual machine … from scratch! Learn how to write a compiler and a virtual machineOur main goal in in this book is to evolve Monkey. We'll build them side-by-side so that we'll always have a running system we can steadily evolve.What we end up with is not only much closer to the programming languages we use every day, giving us a better understanding of how they work, but also 3x faster. And that's without explicitly aiming for performance.

Here's what we'll do:We define our own bytecode instructions, specifying their operands and their encoding. Along the way, we also build a mini-disassembler for them.We write a compiler that takes in a Monkey AST and turns it into bytecode by emitting instructionsAt the same time we build a stack-based virtual machine that executes the bytecode in its main loopWe'll learn a lot about computers, how they work, what machine code and opcodes are, what the stack is and how to work with stack pointers and frame pointers, what it means to define a calling convention, and much more.

We alsobuild a symbol table and a constant pooldo stack arithmeticgenerate jump instructionsbuild frames into our VM to execute functions with local bindings and arguments!add built-in functions to the VMget real closures working in the virtual machine and learn why closure-compilation is so tricky

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