You’ve reached computer programming nirvana. Your journey has led you down many paths, including believing that God wrote the universe in LISP,

The life and times of an Abstract Syntax Tree

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2024-05-02 13:30:08

You’ve reached computer programming nirvana. Your journey has led you down many paths, including believing that God wrote the universe in LISP, but now the truth is clear in your mind: every problem can be solved by writing one more compiler.

It’s true. Even our soon-to-be artificially intelligent overlords are nothing but compilers, just as the legends foretold. That smart contract you’ve been writing for your revolutionary DeFi platform? It’s going through a compiler at some point.

Now that we’ve established that every program should contain at least one compiler if it doesn’t already, let’s talk about how one should go about writing one. As it turns out, this is a pretty vast topic, and it’s unlikely I’d be able to fit a thorough disquisition on the subject in the margin of this blog post. Instead, I’m going to concentrate on the topic of Abstract Syntax Trees (ASTs).

In the past, I’ve worked on a decompiler that turns LLVM bitcode into Clang ASTs, and that has made me into someone with opinions about them. These are opinions on the things they don’t teach you in school, like: what should the API for an AST look like? And how should it be laid out in memory? When designing a component from scratch, we must consider those aspects that go beyond its mere functionality—I guess you could call these aspects “pragmatics.” Let’s go over a few of them so that if you ever find yourself working with ASTs in the future, you may skip the more head-scratching bits and go straight to solving more cogent problems!

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