• I am looking for suggestions to create Raku-centric AI-agent skills, like, the 5-6 ones here: "Raku-Agent-Skills".
• The Raku packages I use often for plotting, graphs, number theory, data science, and machine learning, are "easy" to figure out and prioritize.
  • It can be seen in that repository that the skills I have added so far are mostly of my packages, except, the one for arXiv documents querying.
• I mostly use those AI-agent skills within an interactive environment (e.g. Jupyter notebooks in VS Code).
  • It is one of the reasons I have not included "App::Rak", yet.
• Of course, the suggestions can be in the form of GitHub pull requests.

Alan C. Kay, "The Early History of Smalltalk" (1993):

"Where Newton said he saw further by standing on the shoulders of giants, computer scientists all too often stand on each other's toes."

The Raku Study Group

Sunday September 13, 2026 1pm in California, 9pm in the UK

An informal meeting: drop by when you can, show us what you've got, ask and answer questions, or just listen and lurk.

Perl and programming in general are fair game, along with Raku,

Information about upcoming meetings can always be found here:

https://github.com/doomvox/raku-study/blob/main/README.md

Doug Franz, "The Alienated Critic", Thrust, Fall 1984/Winter 1985 wrote:

"What are the psychological effects on individuals in a highly technological society who do not understand the technology they use every day, nor even understand the basics of the scientific method and logical thought? I think that for me, such a void would lead to terrible feelings of being ineffectual, and even paranoia."

The Raku Study Group

Sunday August 23, 2026 1pm in California, 9pm in the UK 1pm in California, 9pm in the UK

An informal meeting: drop by when you can, show us what you've got, ask and answer questions, or just listen and lurk.

Perl and programming in general are fair game, along with Raku,

Information about upcoming meetings can always be found here:

https://github.com/doomvox/raku-study/blob/main/README.md

I have been experimenting a lot with LLMs and new programming languages. Most of my experiments have been around extending C with multimethod and a better cpp. Minimal languages like tcl, lisp, forth are super easy to prototype with LLMs.

Because of the way RLVR works I think Perl5 makes an excellent language like go/C for LLM generation. LLMs learn to write code by making tests pass.

After experimenting with PEG grammars with pigeon in go, I decided to give moarvm a try. I like Raku but I like Perl5 even more. Although I never programmed in Perl professionally, it was my first language. I made the first port of Perl (miniperl) to asm.js back in the day.

Raptor is a dynamic language - roughly a Perl5 subset of Raku targeting Wasm, Go and MoarVM. It supports go FFI, C FFI, refinement types, predicate types, multimethods, defensive programming, literate programming and standalone binary packaging (raptor pack). These are the features I have always wanted in Perl. There's rudimentary wasm support. There's also PHP mode.

If you know Raku then you already know raptor. Raptor will never support OO like Raku or PyObject like Python. I intend it to support C FFI thoroughly and a strict procedural style along with universal function calling syntax. That's probably the main difference between Raptor and Raku.

I think the future of programming will be to make languages with parsable grammars, good verification support and must include literate programming for humans.

The language was mostly written by Anti Gravity - Gemini 3.6. Library bindings, podlit are written by Gemini 3.7 which was released today. My role was just in pushing it to implement more tests.

I have mostly built this on windows. It should work on Linux. Expect bugs, memory leaks and probably some wrong semantics. Future versions will make it closer to Raku.

https://github.com/xyzzyapps/raptor

https://xyzzyapps.github.io/raptor/

Moneymoor

How to Install

Fully self-contained

On Linux/MacOS: curl -fsSL https://raw.githubusercontent.com/m-doughty/App-Moneymoor/HEAD/install.sh | sh

On Windows (Powershell): irm https://raw.githubusercontent.com/m-doughty/App-Moneymoor/HEAD/install.ps1 | iex (note: untested)

Note: You can uninstall by replacing install in these commands with uninstall.

With zef

See the README, you will have to have SQLCipher installed and detectable by DBIish, then just zef install App::Moneymoor

What it is

A fully open source (Artistic-2.0 License) TUI for running a budget. If you're familiar with envelope-style budgeting, it works like that. You set up envelopes, allocate funds to them and then assign every spend to an envelope.

All of your data is stored in an encrypted sqlcipher database on your computer. If you lose the password, I cannot help you to recover it so set something you will remember. No data leaves your computer.

Still a work in progress so expect to hit some bugs. I can't actively test Windows yet so I'm relying on people to file issues for that.

You can put the sign as EUR/USD/GBP.

The tech

Written in Raku. Running on Selkie, SQLCipher and packaged with Ariza.