septum

One of the most interesting approaches to code search I've seen recently (no affiliation) https://github.com/pyjarrett/septum The hardest part about getting code search right imo is grabbing the right amount of surrounding context, which septum is aimed at solving on a per-file basis. Another one I'm surprised hasn't been mentioned is stack-graphs (https://github.com/github/stack-graphs), which tries to incrementally resolve symbolic relationships across the whole codebase. It powers github's cross-file precise indexing and conceptually makes a lot of sense, though I've struggled to get the open source version to work

Ada is another option without a GC. I wrote a search tool for large codebases with it (https://github.com/pyjarrett/septum), and the easy and built-in tasking and pinning to CPUs allows you to easily go wide if the problem you're solving supports it. There's very little allocation since it supports returning VLAs (like strings) from functions via a secondary stack. Its Alire tool does the toolchain install and provides package management, so trying the language out is super easy. I've done a few bindings to things in C with it, which is ridiculously easy.

I work on code bases with millions of lines, so I wrote a tool called Septum to help me (https://github.com/pyjarrett/septum/). This isn't to replace grep or ripgrep or silver searcher, those are all great tools you should have! Septum is neighborhood based (context-based) search, so you can find contiguous groups of lines which contain specific things, but exclude other things. It's also interactive so you can add/remove filters as needed. This makes it useful for those cases where terms change based on their context so you can exclude terms related to the contexts you don't want to keep. It reads .septum/config which contains its normal commands to load directories and settings, so you can have different configs per project you're working on.