> GitHub PRs are Markdown documents, and some organizations have specific templates with checklists for all reviewers to complete. Enforcing these often requires ugly regexes that are a pain to write and worse to debug
This is because GitHub is not building the features we need, instead they are putting their energy towards the AI land grab. Bitbucket, by contrast, has a feature where you can block PRs using a checkbox list outside of the description box. There are better ways to solve this first example from OP readme. Cool project, I write mainly MDX these days, would be cool to see support for that dialect
Not only is GitHub focused on AI, but they’re also making their UI slower and jankier by rewriting it in React.
I feel like a “Linear for GitHub” is due.
Is it true that it is React’s fault? Is there any other replacement for heavy user interaction, that is clearly more performative? You cannot do that on server side.
Yes, there are lots of better options. React is around the bottom 25th percentile of frameworks when comparing speed. https://krausest.github.io/js-framework-benchmark/2025/table...
GitHub worked great for 15+ years without React everywhere. I'm finding interacting with issues to be a whole lot jankier over the past few months.
> Is there any other replacement for heavy user interaction, that is clearly more performative?
Well-written React?
Vue, Svelte, Solid.
SolidJS
Linear? That website makes my laptop heat up like nuts.
If also hijacks standard browser shortcuts: I try to open the file menu with alt-f, but instead it (un-) marks the issue as "Favorite".
GitHub was ignoring users needs long before the AI craze.
It's hard to remember, but as soon as gitlab showed up, GitHub went from a "maybe someday if I make it" site to a "let's just use GitHub for everything" site.
Prior to gitlab ratcheting up the usability, features, and cost effectiveness, I preferred hosted git for 99% of use cases.
The Markdown parsing library I'm using supports MDX, so it shouldn't be too difficult to come up with syntax for those components. I haven't done that yet, but mostly because I didn't want to go down that path until I knew there was interest and had a concrete use case or two to inform the query syntax.
If you want to open an enhancement request issue, I'm happy to take a look (PRs also welcome, but not required). If you're not on GitHub, let me know and we can figure out some other way to get the request tracked.
Thanks for taking a look at the project!
I don't write rust and already have an MDX toolbox that fits my needs. Browser, GH, and IDE search / TOC are good enough for me.
I'm currently in a phase of trying to shed tools and added complexity, rather than add them
Fair enough!
it's a shame when core feature development seems to lag. i've also been working w/ MDX lately & agree that support would be a great addition.
> This is because GitHub is not building the features we need, instead they are putting their energy towards the AI land grab.
You throw the ball to where it's going. Gitlab might be delivering more value in the short term, but if things wind up looking significantly different in ten years, they might be in for a world of hurt. Innovator's dilemma is real.
It's a danger to ignore the tectonic changes happening. It's also incredibly risky to lean fully in, because we're not sure where the value accrues or which systems are the most important to build. It doesn't seem like foundation models are it.
It's smart to build basic scaffolding, let the first movers make all the expensive mistakes, then integrate the winning approaches into your platform. That requires a lot of energy though.
Ironically one of the reasons markdown (and other text based file formats) were popular because you could use regular find/grep to analyze it, and version control to manage it.
I don't think anyone ever really expected to see widespread use of regexes to alter the structure of a Markdown document. Honestly, while something like "look for numbers and surround them with double-asterisks to put them in boldface" is feasible enough (and might even work!), I can't imagine that a lot of people would do that sort of thing very often (or want to) anyway.
If a document is supposed to have structure - even something as simple as nested lists of paragraphs - it doesn't seem realistic to expect regular text manipulation tools to do a whole lot with them. Something like "remove the second paragraph of the third entry in the fourth bullet-point list" is well beyond any sane use of any regex dialect that might be powerful enough. (Keeping in mind that traditional regexes can't balance brackets; presumably they can't properly track indentation levels either.)
See also: TOML - generally quite human-editable, but still very much structured with potentially arbitrary nesting.
> (Keeping in mind that traditional regexes can't balance brackets; presumably they can't properly track indentation levels either.)
You're right: Regular expressions are equivalent to finite state machines[1], which lack the infinite memory needed to handle arbitrarily nested structures [2]. If there is a depth limit, however, it is possible (but painful) to craft a regex to describe the situation. For example, suppose you have a language where angle brackets serve as grouping symbols, like parentheses usually do elsewhere [3]. Ignoring other characters, you could verify balanced brackets up to one nesting level with
/^(<>)*$/
and two levels with /^(<(<[^<>]*>|[^<>])*>)*$/
Don't do this when you have better options.---
[1] https://reindeereffect.github.io/2018/06/24/index.html
[2] As do any machines I can afford, but my money can buy a pretty good illusion.
[3] < and > are not among the typical regex metacharacters, so they make for an easier discussion.
Definitely, but it's neat nonetheless because more and more things are "structured Markdown" these days. Extremely useful for AI reasoning and outputs.
> because you could use regular find/grep to analyze it
They were meant to be analyzable in some ways. Count lines, extract headers, maybe sed-replace some words. But being able to operate/analyze over multiline strings was never a strong point of unix tools.
Kind of aligned with this is MarkdownDB, providing an SQLite backend to your Markdown files [0]. Cool to see this, I feel the structure of .md files is not always equally respected or regarded as a data serialisation target.
My flow is to go through the Pandoc JSON AST and then use Jq. This works for other input formats, too.
I'm curious how ergonomic you find that? I did look at the pandoc JSON initially, and found it fairly awkward to work with. It's a great interchange format, but doesn't seem optimized for either human interaction or scripting. (It's definitely possible to use it for scripting, it just felt cumbersome to me, personally.)
I've never had a need for parsing markdown like this, bit I have to wonder, would it make to go through HTML instead, given that it's what markdown is designed to compile to? At that point, I'd assume there's any number of existing XML tools that work work, and my (maybe naive) assumption is that typical markdown documents would be relatively flat compared to how deeply nested "native" HTML/XML often gets, so it doesn't seem like most queries would require particularly complex XPath to be able to specify.
I did this for a tool that checks relative links in markdown files, e.g. readmes in a repo.
markdown -> xhtml -> sxml -> logic (racket)
I think you'd benefit of having some more real-world-ish examples in the README, as someone who doesn't intuit what I'd want to use this for.
Agreed. At least 5 examples of output shown being used against a standard markdown document.
Thanks for sharing this Yuval! Thanks as well for using permissive licenses so I can use this at work.
Curious, which license can't you use at work for a simple shell tool? Considering you're not linking against it, even GPL3 should be okay, right?
How is it parsing? Just normal string and regex matching or transforming markdown to an intermediate structured language?
For the markdown, I'm using https://github.com/wooorm/markdown-rs, which is a formal parser that produces an AST. For the query language, I have a very simple hand-rolled parser.