Skip to main content






A quick demo I threw togetherI threw together a quick proof of concept for myself writing out a very simple Entity Component System (ECS) and implementing the flocking simulation on top of it. I liked how it came together so well I wrote some prose around it and decided to share.

Note: this is using features from the soon-to-be-released 5.40.0 (RC1 dropped last Friday).

submitted by /u/perigrin
[link] [comments]




submitted by /u/niceperl
[link] [comments]



Hi, I recently got an offer for Senior SWE (current title at my company now) for a company that heavily utilizes Perl. I was wondering if folks from this community could offer some insight on what it's like working with Perl and also what, if any, potential long-term career implications are of becoming a Perl developer? Particularly I'm worried of pigeon-holing myself since Perl is not as heavily used in todays age and this company does not make use of modern cloud tools and deployments.

I am a Java developer (5 YOE) at a enterprise software company that is deployed in GCP. We are pretty regularly adopting new technologies so I'm gaining some valuable and relevant industry experience here but I am looking for a change and more opportunity to lead projects and mentor junior engineers.

The company seems good, great WLB, I liked the manager, and with the bonus (base is roughly the same) it would be about a ~8% TC increase plus a lot more stock (monopoly money, private RSUs).

Does anyone have experience transitioning from a Perl based company to a cloud based company with a more modern tech stack? Is this a backwards direction for me, should I continue with my Java development and instead look for opportunities that will offer more marketable skills?

Any input is appreciated, thank you for reading.

submitted by /u/Roodiestue
[link] [comments]




I've been trying to debug an issue for 3 days now, am getting nowhere, and am about to headbutt my laptop. If anyone's done any heavy lifting with Net:DBus then, for the sake of my laptop, I'd really appreciate the help!

Problem description: I have a hash table with a bunch of keys. The values relating to those keys are of different types (as in, I've cast them to dbus types). So:

my $testhash = {}; $testhash->{"xesam:albumArtist"} = [dbus_string("Tom Waits")]; $testhash->{"xesam:album"} = dbus_string("Mule Variations"); $testhash->{"xesam:trackNumber"} = dbus_int32(1); $testhash->{"xesam:artist"} = [dbus_string("Tom Waits")]; $testhash->{"xesam:title"} = dbus_string("Big in Japan"); $testhash->{"mpris:artUrl"} = dbus_string("file://mnt/storage/Music/mp3/Tom Waits/Mule Variations/folder.jpg"); $testhash->{"mpris:length"} = dbus_int64(64182857); $testhash->{"mpris:trackid"} = dbus_object_path("/0"); $testhash->{"xesam:url"} = dbus_string("file://mnt/storage/Music/mp3/Tom Waits/Mule Variations/01 - Big in Japan.mp3"); 

I've created a DBus service, and have successfully implemented a method that returns that hash table ($IFACE is the interface name I'm using for all of my test methods):
dbus_method("ReturnDynamicHash", [], [["dict", "string", ["variant"]]], $IFACE); sub ReturnDynamicHash { my $self = shift; print "Object: ReturnDynamicHash called.\n"; my $return = {}; my @keys = keys(%{$testhash}); my $count = scalar(@keys); if ($count) { foreach my $key (@keys) { $return->{$key} = $testhash->{$key}; } } return $return; } 

As a DBus method, this works perfectly:
% dbus-send ....... .ReturnDynamicHash array [ dict entry( xesam:trackNumber variant int32 1 ) dict entry( mpris:trackid variant /0 ) dict entry( xesam:albumArtist variant array [ Tom Waits ] ) dict entry( xesam:album variant Mule Variations ) dict entry( mpris:length variant int64 64182857 ) dict entry( xesam:url variant file://mnt/storage/Music/mp3/Tom Waits/Mule Variations/01 - Big in Japan.mp3 ) dict entry( mpris:artUrl variant file://mnt/storage/Music/mp3/Tom Waits/Mule Variations/folder.jpg ) dict entry( xesam:artist variant array [ Tom Waits ] ) dict entry( xesam:title variant Big in Japan ) ] 

However, the interface I'm implementing requires that a DBus Property return that hashtable, not a method:
dbus_property("StaticHashProperty", [["dict", "string", ["variant"]]], "read", $IFACE); sub StaticHashProperty { print "Object: StaticHashProperty accessed.\n"; my $return = {}; my @keys = keys(%{$testhash}); my $count = scalar(@keys); if ($count) { foreach my $key (@keys) { $return->{$key} = $testhash->{$key}; } } return $return; } 

and this doesn't work.

From the dbus-send client I get

Error org.freedesktop.DBus.Error.NoReply: Remote peer disconnected 

and from the Perl server stderr i get:
dbus[93409]: Array or variant type requires that type array be written, but object_path was written. The overall signature expected here was 'a{sas}' and we are on byte 4 of that signature. D-Bus not built with -rdynamic so unable to print a backtrace Aborted (core dumped) 

Now, this error is coming from libdbus itself, not the Perl wrapper (though could of course still be a bug in the Perl module that's causing the error). It seems to have entirely the wrong signature ( a{sas}, not a{sv} as defined above the Property method) and therefore appears to be complaining that the type of one of the values is wrong (each time I run it I get a slightly different error; I think it's deducing the signature from the first key-value pair it pulls from the hash and assumes they should all be the same - so if the first pair it pulls has a uint64 value, then it complains that the next pair doesn't also have a uint64 value).

Since the Method works I know Net::DBus can handle these sorts of return values, but for some reason, as a property, it just isn't working. I also know that other applications do implement this interface, including this Property, successfully, so I know this isn't a limitation of DBus.

I've been looking at the code in Net::DBus that handles serialization, assuming there must be some difference between how Properties and Methods are handled, but can't see anything obvious.

Anyone? Any idea? Literally anything at all? Thank you!!!!!

submitted by /u/Flashy_Boot
[link] [comments]



The following is a quick ramble before I get into client work, but might give you an idea of how AI is being used today in companies. If you have an questions about Generative AI, let me know!

The work to make the OpenAI API (built on Nelson Ferraz's OpenAPI::Client::OpenAI module) is going well. I now have working example of transcribing audio using OpenAI's whisper-1 model, thanks to the help of Rabbi Veesh.

Using a 7.7M file which is about 16 minutes long, the API call takes about 45 seconds to run and costs $0.10 USD to transcribe. The resulting output has 2,702 words and seems accurate.

Next step is using an "instruct" model to appropriately summarize the results ("appropriate" varies wildly across use cases). Fortunately, we already have working examples of this. Instruct models tend to be more correct in their output than chat models, assuming you have a well-written prompt. Anecdotally, they may have smaller context windows because they're not about remembering a long conversation, but I can't prove that.

Think about the ROI on this. The transcription and final output will cost about 11 cents and take a couple of minutes. You'll still need someone to review it. However, think of the relatively thankless task of taking meeting minutes and producing a BLUF email for the company. Hours of expensive human time become minutes of cheap AI time. Multiply this one task by the number of times per year you have to do it. Further, consider how many other "simple tasks" can be augmented via AI and you'll see why it's becoming so powerful. A number of studies show that removing many of these simple tasks from people's plates, allowing them to focus on the "big picture," is resulting in greater morale and productivity.

When building AI apps, OpenAPI::Client::OpenAI should be thought of as a "low-level" module, similar to DBIx::Class. It should not be used directly in your code, but hidden behind an abstraction layer. Do not use it directly.

I tell my clients that their initial work with AI should be a tactical "top-down mandate/bottom-up implementation." This gives them the ability to start learning how AI can be used in different parts of their organization, given that marketing, HR, IT, and other departments all have different needs.

Part of this tactical approach is learning how to build AI data pipelines. With OpenAI publishing their OpenAPI spec, and with Perl using that, we can bring much of the power of enterprise-level AI needs to companies using Perl. It's been far too long that Perl has languished in the AI space.

Next, I need to investigate doing this with Gemini and/or Claude, but not now.


Note, if you're not familiar with the BLUF format, it's a style of writing email that is well-suited for email in a company that is sent to many people. It's "bottom-line up front" so that people can see the main point and decide if the rest of the email is relevant to them. It makes for very effiicient email communication.

submitted by /u/OvidPerl
[link] [comments]



Hi all,

Nelson Ferraz has been working with generative AI for a while. I've started collaborating with him on his OpenAI modules. He wrote a module named OpenAI::API, but it required manually writing the code for all of the behavior. With the size of the OpenAI API, the rapid evolution, of said API, the birth of new models and the deprecation of old models, this approach turned out to be unmaintainable.

Thus, that module was deprecated in favor of Nelson's OpenAPI::Client::OpenAI module. Throw the 13K+ lines OpenAPI spec for OpenAI at it and it just works. Further, the module is pretty much a single Perl class rather than a bunch of hand-crafted code.

CPAN authors know it can be hard to keep modules up-to-date (mea culpa, mea culpa!) and this module is no exception. I need this module so I offered to collaborate and created a PR to update it to version 2.0.0 of the OpenAI spec. It now passes all the tests (for those wondering, you need an OpenAI key and it costs $0.04 USD to run the test suite).

In trying to build a Whisper pipeline for that, I found that I couldn't. There was a PR for Whisper support for the older module, but for the newer one, I can't figure out how to get it to issue a request with multipart/form-data support. I've noted the issue in the PR.

If anyone would like to see OpenAI support for Perl, we would dearly love to collaborate with you to make this happen.

submitted by /u/OvidPerl
[link] [comments]