There is a book-length expansion of this paper that goes into more detail: https://github.com/IUCompilerCourse/Essentials-of-Compilatio...
Like other sibling comments mention about Crafting Interpreters, I recommend following the book but implementing in another language you're familiar with. I ran through "Writing an Interpreter" in Go once, but felt like it stuck a lot harder when I went back through and did it again in Swift. Though you're still following code with the hard parts figured out, the simple act of translating the syntax will mean you're looking harder at what's actually happening.
Someone on here a few weeks ago also mentioned chapter 8 of Rob Pike and Brian Kernighan's "the UNIX Programming Environment". I've had an old eBay recovered copy of this book on my shelve for a few years, it's a neat intro to shell as well, but I've been working though chapter 8 this Memorial Day weekend to dip my toes back into the vintage C waters. The book builds up a simple calculator adding variables, builtins, complex control flow, and functions. It starts as a pure yacc parser, and then shifts to a strategy reminiscent of bytecode. This time I'm using a process I'm familiar with (language implementation) to sharpen my C skills.
By doing either of these projects, you also then have a testbed language where you can start developing more advanced concepts. GC, a type system, externalizeable bytecode, linking, the list goes on forever. About four years ago I started working on the Apex language at Salesforce, and the problems encountered in these projects are absolutely still relevant at the scale we're compiling and executing code across our datacenter.
EDIT: I'll also throw in... it gets a lot more fun when the parser's done. If you're finding recursive descent to be a bit of a brain twister, fight through!
YMMV, but it's hard to genuinely learn from Crafting Interpreters. All the code is already written for you.
Another strategy I used was to look at the title of the chapter, then work ahead as much as possible to implement that. It really helped my learning process to naturally explore the problem space myself, then read through and see how my naive attempts compared to a more seasoned implementation. But as the parent said, ymmv!
I got rid of the code gen and visitor pattern stuff by using records in C# with pattern matching which felt a lot simpler to me.
https://www.cs.princeton.edu/~appel/modern/
Depending on where you're coming from, you can pick C, Java or Standard ML as implementation language to go along and implement the Tiger language in its variants across the book.
It isn't perfect and it might not contain all the best practices out there, consider it notes from a student struggling to learn about the topic
https://returnzero.win/2023/01/28/lisp-my-second-attempt-at-...
Resources I came to know about from HN comments were very valuable in my life and career.