I'm surprised by the number of bad takes on LLMs in this thread.

LLMs spoon-feed you with information about how things are implemented. You are not supposed to know how everything works when you start these projects. You're supposed to try your best, inevitably fail, then research the topic and understand where you went wrong, then adjust your approach. If you know how everything works and just follow the tutorial, you won't know what makes other methods fail, and by proxy what makes the one you chose work.

Write a language parser with a regex. Find out that it can't parse recursive statements. You've now learnt that regex can only parse a specific subset of syntaxes. Try to workaround this by pattern-matching the most nested statement first. Find out that it blows up performance. You now know more about time complexity and know what to watch out for when you write a real parser.

Write a non-optimizing compiler from scratch. Find out that you can't make do with unsound optimizations because you can't keep track of what optimizations are applied where. Find out that implementing sound optimizations is hard because you need to track use-def chains. Then you'll understand why SSA is used. Find out that code motion is a mess. Learn about sea of nodes. Merge every optimization pass into one because you're unable to order passes right. Learn how e-graphs solve this.

Write a layout engine. Get stuck on being unable to define what a "width" is. Workaround this with min/max/natural widths, introduce binary search, etc. Learn how this stuff works in practice (this is something I haven't personally done yet).

They say we learn from mistakes. Please don't let the smart (or "smart", depending on how you look at it) machine stop you from making them. It's not a teacher and it doesn't know how to educate.