wolf4earth
David Yamnitsky joins the mix to discuss tangram.dev and how to use it to add Machine Learning features to your Elixir applications.
He also goes into how it is built and how it provides you with a basic level of AI that integrates nicely with Elixir.
Trending in Podcasts
Peter announces Pushin.eu, a GitHub competitor hosted in the EU, written in Elixir. Other topics include Phoenix ships security patches s...
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Part two of two. Part one covered scale and operations; this one covers the tooling that keeps a large codebase navigable.
The practical...
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We recap ElixirConf US in Chicago, unveil this year’s AtomVM-powered Goatmire name badges, and dig into what happened after Pushin hit th...
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Other Trending Topics
Edit: 2026 May 15 - This post is archived.
Mob is alive!!
Main docs: mob v0.7.11 — Documentation
A bit of explanation for the slightly c...
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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...
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I am happy to introduce the very α version of the new programming language compiled to BEAM.
Welcome Cure.
It has literally three kille...
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Hi there! We created Gust: A task orchestrator inspired by Airflow.
For those who have never heard about Aiflow, it’s a Python-based wor...
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Hi everyone!
The first release candidate for the Expert language server project is now available!
We’ve published a press release detai...
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Beam Bots (or just BB for short) is a framework for building fault-tolerant robotics applications in Elixir using familiar OTP patterns. ...
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