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It’s been an exciting year for all things DockYard, Elixir, large language models (LLMs), machine learning, and more. Here on the blog, we’ve discussed everything from data sharding to the launch of LiveView Native and everything in between.
2025 is shortly on the horizon so here’s a look back at the most-read blog posts from the past year:
1. LiveView Native Is Here!
LiveView Native launched! The framework allows for building 100% native UI on multiple devices. With LVN, you can optimize your entire technology team on a single stack.
2. How to Dynamically Add and Remove Embedded Item Inputs in a Form Using sort_param and drop_param
Engineer Benjamin Rosas demonstrated handling dynamic lists of embedded item inputs, interactively, in web forms using Phoenix LiveView features and zero JavaScript.
3. Create Your First LiveView Native App - Part 1
Brian Cardarella walked you through creating your first LiveView Native app with SwiftUI, an Apple device, and a working understanding of Elixir, Phoenix, and LVN applications. It’s your first app, super speedy edition.
4. Phoenix LiveView Goes 1.0
Chris McCord released Phoenix LiveView 1.0 and Brian celebrated with a look back at his memories of the project’s infancy.
5. Introducing LVN Go
LVN Go is now in the Apple App Store! Download it now to skip Xcode entirely and run your LVN application directly from your device.
6. Elixir Machine Learning: Clustering, Bumblebee, and Structured Prompting
Machine Learning Advisor Sean Moriarity breaks down structured prompting, clustering, and Bumblebee and how easily LLMs can be integrated into existing applications.
7. How to Serve Multiple Domains in a Single Phoenix App
Engineer Alexandre Moreira Xavier details how to service multiple domains in a single Phoenix app simply and straightforwardly.
8. Retrieval Augmented Generation: What It Is and How to Start Using It
Sean Moriarity explains Retrieval Augmented Generation, which combines the strengths of information retrieval with the language capabilities of LLMs.
9. Catching Up: Where are Nx, Axon, and Bumblebee Headed?
What does the future look like for LLMs and Nx, Axon, and Bumblebee? Think quantization, LoRA and graph rewriters, and model sharding.
10. Web Crawling with Hop, Mighty, and Instructor
Sean Moriarity details how to combine traditional web crawlers with LLMs to build intelligent data extraction applications.
Happy almost New Year from the DockYard team! Here’s to more development and strategy, and may your code never be buggy.
