rwiggins

Joined 15 years ago

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Member since
Dec 30
I'm a site reliability engineer.

You can contact me at: hn [ at ] reidwiggins [ dot ] com

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Comment · 1 month ago
It's certainly bad form to turn a GitHub reply into a blog post(?). (Disclosure: I only saw the commit refs that say "blog post", that appear to be a reply.)

As a maintainer (but not on this project), I feel an implicit (professional) responsibility to carefully review PRs, especially from random people. And as a profession, we know it's often harder to read code than it is to write it. This goes double for LLM code, which sometimes lacks a coherent mental model.

So in general, the asymmetry of "I did very little work here, but I'd like you to spend your time carefully reviewing it nonetheless" can be very annoying.

But to talk about specifics: this PR's description is mostly a waste of time. The first section is a pure duplication of the diff. If I wanted before/after code blocks, I'd click the "Files Changed" tab. Ditto for "Docs-only: 4 insertions, 1 deletion, docs/graph.md only. No change to the player bundle, layout or any other page." - yeah, I can see that in the diff, thanks. (Well, that's what it was in the original diff, before the follow-up changes.)

The testing and AI disclosure sections are similarly overly verbose. I don't need commentary on the policy, nor do I need a statement permitting me to reject the PR.

As an outsider, yeah, my reaction is pretty negative. I'd much prefer a description like "Fixes #3224. Migrated from v2 asciinema-player to v3 AsciinemaPlayer.create, as described in v2 to v3 migration guide [link]. Tested locally as best I could."

A maintainer needing to ask to migrate the other v2 uses isn't a great look, either. The follow-up "fixed the other 5" comment could simply end at "fixed the other 5", without all of the nonsense afterward.

I have to wonder whether all of this truly saved anyone time.

Comment · 1 month ago
Have you tried running the same review skill back to back in fresh sessions? My experience has been: 1) build complicated thing with LLM, 2) run code review, 3) it finds like 8 things, 4) fix them, 5) run another code review, 6) it finds another new 8 things, rinse and repeat.

I'd guess people truly are finding things pre-review. It's just that LLM review seems to have a limit to the number of problems it can or will find. While at the same time, LLM-written code can be an almost limitless source of bugs and errors.

It has no sense of when an architecture is doomed and needs fundamental changes. Instead, it will happily continue to chase individual bugs nearly to infinity.

But, maybe your review skill is better than the ones I've tried.

Comment · 1 year ago
Hmm. I stick to jq for basically any JSON -> JSON transformation or summarization (field extraction, renaming, etc.). Perhaps I should switch to scripts more. uv is... such a game changer for Python, I don't think I've internalized it yet!

But as an example of about where I'd stop using jq/shell scripting and switch to an actual program... we have a service that has task queues. The number of queues for an endpoint is variable, but enumerable via `GET /queues` (I'm simplifying here of course), which returns e.g. `[0, 1, 2]`. There was a bug where certain tasks would get stuck in a non-terminal state, blocking one of those queues. So, I wanted a simple little snippet to find, for each queue, (1) which task is currently executing and (2) how many tasks are enqueued. It ended up vaguely looking like:

    for q in $(curl -s "$endpoint/queues" | jq -r '.[]'); do
        curl -s "$endpoint/queues/$q" \
        | jq --arg q "$q" '
            {
                "queue": $q,
                "executing": .currently_executing_tasks,
                "num_enqueued": (.enqueued_tasks | length)
            }'
    done | jq -s

which ends up producing output like (assuming queue 0 was blocked)

    [
        {
            "queue": 0,
            "executing": [],
            "num_enqueued": 100
        },
        ...
    ]
I think this is roughly where I'd start to consider "hmm, maybe a proper script would do this better". I bet the equivalent Python is much easier to read and probably not much longer.

Although, I think this example demonstrates how I typically use jq, which is like a little multitool. I don't usually write really complicated jq.

Comment · 1 year ago
Oh wow, that's fantastic. I love that it includes real values while still summarizing the doc's structure. I'm going to steal that. I'll probably keep jq-structure around because it's so easy to copy/paste paths I'm looking for, but yours is definitely better for understanding what the JSON doc actually contains.
Comment · 1 year ago
Oh, fantastic. jq has become an integral part of work for me.

I'll use this opportunity to plug the one-liner I use all the time, which summarizes the "structure" of a doc in a jq-able way: https://github.com/stedolan/jq/issues/243#issuecomment-48470... (I didn't write it, I'm just a happy user)

For example:

    $ curl -s 'https://ip-ranges.amazonaws.com/ip-ranges.json' | jq -r '[path(..)|map(if type=="number" then "[]" else tostring end)|join(".")|split(".[]")|join("[]")]|unique|map("."+.)|.[]'
    .
    .createDate
    .ipv6_prefixes
    .ipv6_prefixes[]
    .ipv6_prefixes[].ipv6_prefix
    .ipv6_prefixes[].network_border_group
    .ipv6_prefixes[].region
    .ipv6_prefixes[].service
    .prefixes
    .prefixes[]
    .prefixes[].ip_prefix
    .prefixes[].network_border_group
    .prefixes[].region
    .prefixes[].service
    .syncToken
(except I have it aliased to "jq-structure" locally of course. also, if there's a new fancy way to do this, I'm all ears; I've been using this alias for like... almost a decade now :/)

In the spirit of trying out jqfmt, let's see how it formats that one-liner...

    ~  echo '[path(..)|map(if type=="number" then "[]" else tostring end)|join(".")|split(".[]")|join("[]")]|unique|map("."+.)|.[]' | ~/go/bin/jqfmt -ob -ar -op pipe
    [
        path(..) | 
        map(if type == "number" then "[]" else tostring end) | 
        join(".") | 
        split(".[]") | 
        join("[]")
    ] | 
        unique | 
        map("." + .) | 
        .[]%
    ~  
Not bad! Shame that jqfmt doesn't output a newline at the end, though. The errant `%` is zsh's partial line marker. Also, `-ob -ar -op pipe` seems like a pretty good set of defaults to me - I would prefer that over it (seemingly?) not doing anything with no flags. (At least for this sample snippet.)
Comment · 1 year ago
> how clear and useful it is. Perhaps, but do you really need all that?

Do I need clear and useful things? Maybe not. Would I like to have them anyway? Yes.

Years ago, I configured a Java project's logging framework to automatically exclude all the "uninteresting" frames in stack traces. It was beautiful. Every stack trace showed just the path taken through our application. And we could see the stack of "caused-by" exceptions, and common frames (across exceptions) were automatically cut out, too.

Granted, I'm pretty sure logback's complexity is anathema to Go. But my goodness, it had some nice features...

And then you just throw the stack trace in IntelliJ's "analyze stacktrace" box and you get clickable links to each line in every relevant file... I can dream.

> the wrapping is very greppable when done well

Yeah, that's my other problem with it. _When done well._ Every time I write an `if err != nil {}` block, I need to decide whether to return the error as is (`return err`) or decorate it with further context (`return fmt.Errorf("stuff broke: %w", err)`). (Or use `%v` if I don't want to wrap. Yet another little nuance I find myself needing to explain to junior devs over and over. And don't get me started about putting that in the `fmt` package.)

So anyway, I've seen monstrosities of errors where there were 6+ "statement: statement: statement: statement: statement: final error" that felt like a dark comedy. I've also seen very high-level errors where I dearly wished for some intermediate context, but instead just had "failed to do a thing: EOF".

That all being said, stack traces are really expensive. So, you end up with some "fun" optimizations: https://stackoverflow.com/questions/58696093/when-does-jvm-s...

Comment · 1 year ago
It's been so long that I barely remember the details, but yes, we used a gnomon to calculate several things... the earth's circumference, our local solar noon, latitude and longitude, etc.

I specifically remember that we measured how far the shadow moved over time using chalk. I think this was in lieu of having a second triangle somewhere else, although, for all I know we might have used a second reference distance.

Our campus had this elaborate outdoor "observatory" that had all sorts of interesting features. The gnomon was one of them, but there were other cool things, like IIRC there was a metal sculpture where Polaris would be seen through a central hole (and a guide inscribed in the concrete to figure out where to stand for that to happen -- I think it was based on viewing height).

Comment · 1 year ago
> Have you ever done the experiments to prove the Earth is round?

I have, actually! Thanks, astronomy class!

I've even estimated the earth's diameter, and I was only like 30% off (iirc). Pretty good for the simplistic method and rough measurements we used.

Sometimes authorities are actually authoritative, though, particularly for technical, factual material. If I'm reading a published release date for a video game, directly from the publisher -- what is there to contest? Meanwhile, ask an LLM and you may have... mixed results, even if the date is within its knowledge cutoff.

Comment · 1 year ago
Setting aside that you can enable mouse mode in vim and use the mouse to your heart's desire --

and setting aside the "declarative" vs "imperative" nomenclature debate --

vim is pretty dang efficient. Typing `gg` to go to the beginning of a file, or `G` to go the end. Or all the other variety of motions. There are a lot.

Also, there is not necessarily any need to move the cursor anywhere. For example, if I'm in the middle of writing some string and I've decided to change the whole thing, `<ESC>ci"` does that, with no cursor movement required.

Comment · 1 year ago
Yeah, having the read the article, my conclusion was that you should avoid honeycrisps from like February through ~August. i.e. only buy them when they're vaguely in season, or not too long afterward.

Anecdotally, I had some pretty delicious honeycrisps last night (in WA).

Comment · 1 year ago
Errr, not in the rural area I grew up in. Gravel driveways are super common, gravel roads not so much.

To give some specifics: I only remember driving down an actual gravel road (like, for public use) a single time. In 18 years. Even my friends who lived >30min from the nearest "city" (~10k population) had paved roads all the way.

But that is just my own experience. Areas with a different climate or geography might be a totally different story. My hometown area is relatively flat, lots of farmland, and rarely gets severe winter weather.

Comment · 1 year ago
Maybe area-dependent? I grew up in an extraordinarily rural area in Tennessee. Most roads were paved (asphalt). Even ones out in the middle of nowhere.

The conditions of some of the remote roads might not have been great, mind you... and some seemed "thinner" almost, maybe paved a long time ago?

Comment · 1 year ago
I felt the same way initially, but the language has grown on me. The turning point was writing a lot of Go, like full-time project work for a few months.

But as I've gotten older, I've started striving more and more for simplicity above all else, especially in systems design (disclaimer: I'm an SRE). Go is pretty good at being simple.

There are some things that still annoy me a whole bunch, though. Like - just one example - `fmt.Errorf` not being a first-class syntactic construct (or the difference between `%v` and `%w` in `fmt.Errorf`).

Comment · 2 years ago
It's a link to source code on GitHub. It could be marketing too, but it's absolutely, incontrovertibly source code.

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