asianfilm
For those who haven’t seen it, here is a research paper from August that found that LLMs perform twice as well with Elixir than with Python or JavaScript.
Trending in AI / LLMs
Anyone vibe-converted a Rails app to Phoenix?
How did it go?
Which tools did you use?
Any tips?
Asking for a friend :sweat_smile:
New
Hi all :waving_hand:
I’m presenting “Building a Harness for Fun and Profit” at Colorado Startup Week on September 14, 2026.
tl;dr - I b...
New
Other Trending Topics
Hey, I’m Jesse and I’m the main contributor behind Dexter, a full-featured, lightning-fast Elixir LSP optimized for large codebases. It s...
New
Beam Bots (or just BB for short) is a framework for building fault-tolerant robotics applications in Elixir using familiar OTP patterns. ...
New
Hello everyone. After busy few months I am happy to announce v0.1.0 of Emerge & Solve.
They are GUI (Emerge) and State management (S...
New
Corex is an accessible, unstyled UI component library for Phoenix that integrates Zag.js state machines using Vanilla JavaScript and Live...
New
Emily is an Elixir library that runs Nx computations on Apple’s MLX. Install it as the default Nx backend and Nx, defn, Axon, Nx.Serving,...
New
There has been a thread to discuss the Stack Overflow Developer Survey on this forum every year since 2018, so here’s yet another one for...
New
Categories:
Sub Categories:
Forums
Popular Tags
- #ecto
- #liveview
- #troubleshooting
- #learning-elixir
- #deployment
- #library
- #erlang
- #testing
- #genserver
- #mix
- #absinthe
- #remote-other
- #otp
- #plug
- #how-to-question
- #macros
- #postgres
- #channels
- #elixirconf
- #exunit
- #discussion
- #code-sync
- #javascript
- #podcasts
- #onsite
- #dialyzer
- #docker
- #authentication
- #umbrella
- #full-time-contract
- #podcasts-by-brainlid
- #ecto-query
- #elixir-ls
- #blog-post
- #phoenix_html
- #iex
- #graphql
- #ai
- #genstage
- #elixirconf-us
- #websockets
- #supervisor
- #advent-of-code
- #distillery
- #processes
- #api
- #forms
- #metaprogramming
- #security
- #hex










First Post!
artem
Sounds exciting, unfortunately in the article researchers tell that “likely because DeepSeek-Coder-V2-Lite
struggles to filter out simple problems in these scenarios due to its limited capability in handling low-
resource languages“. In their experiment design they wanted to run the tests on the generated problems, yet only on the complex ones and.. possibly used “complexity filter” that was unable to understand whether elixir problem was too simple (thus possibly making elixir score artificially high).
Do we still like elixir - oh, yes. Does this article mean that LLMs are better with elixir - probably not so much. Especially since the research goal was quite orthogonal - they were evaluating models against models (and against complex problems), not languages.