Today, the Elixir Wizards wrap up Season 14 “Enter the Elixirverse.” Dan, Charles, and Sundi look back at some common themes: Elixir plays well with others, bridges easily to access languages and tools, and remains a powerful technology for data flow, concurrency, and developer experience. We revisit the popular topics of the year, from types and tooling to AI orchestration and reproducible dev environments, and share what we’re excited to explore next.
We also invite your questions and takeaways to help shape future seasons and conference conversations. Season 14 doubles as a handy primer for anyone curious about how Elixir integrates across the stack.
Cars.com
S14E06 SDUI at Scale with Elixir https://youtu.be/nloRcgngT_k?si=g4Zd4N1s56Ronrtw
https://hexdocs.pm/phoenix_live_view/Phoenix.LiveView.html
https://wordpress.com/
https://elixir-lang.org/
S14E01 Zigler: Zig NIFs for Elixir https://youtu.be/hSAvWxh26TU?si=d5_5tVuZbNw0KCfT
https://ziglang.org/
https://hexdocs.pm/zigler/Zig.html
https://github.com/blue-heron/blue_heron
https://github.com/elixir-explorer/explorer
S14E08 Nix for Elixir Apps https://youtu.be/yymUcgy4OAk?si=BRgTlc2VK5bsIhIf
https://nixos.org/
https://nix.dev/
S14E07 Set Theoretic Types in Elixir https://youtu.be/qMmEnXcHxL4?si=Ux2lebiwEp3mc_0e
S14E10 Python in Elixir Apps https://youtu.be/SpVLrrWkRqE?si=ld3oQVXVlWHpo7eV
https://www.python.org/
https://hexdocs.pm/pythonx/
https://github.com/Pyrlang/Pyrlang
https://github.com/erlport/erlport
S14E03 LangChain: LLM Integration for Elixir https://youtu.be/OwFaljL3Ptc?si=A0sDs2dzJ0UoE2PY
https://github.com/brainlid/langchain
S14E04 Nx & Machine Learning in Elixir https://youtu.be/Ju64kAMLlkw?si=zdVnkBTTLHvIZNBm
S14E05 Rustler: Bridging Elixir and Rust https://youtu.be/2RBw7B9OfwE?si=aRVYOyxxW8fTmoRA
https://github.com/rusterlium/rustler
Season 3: Working with Elixir https://youtube.com/playlist?list=PLTDLmInI9YaDbhMRpGuYpboVNbp1Fl9PD&si=hbe7qt4gRUfrMtpj
S14E11 Vibe Coding the LoopedIn Crochet App https://youtu.be/DX0SjmPE92g?si=zCBPjS1huRDIeVeP
Season 5: Adopting Elixir
YouTubeLaunchisode and Outlaws Takeover with Chris Keathley, Amos King, and Anna Neyzberg
S13E01 Igniter: Elixir Code Generation https://youtu.be/WM9iQlQSF_g?si=e0CAiML2qC2SxmdL
Season 8: Elixir in a Polyglot Environment https://youtube.com/playlist?list=PLTDLmInI9YaAPlvMd-RDp6LWFjI67wOGN&si=YCI7WLA8qozD57iw
!! We Want to Hear Your Thoughts *!!*
Have questions, comments, or topics you'd like us to discuss on the podcast?
Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9
In this episode of Elixir Wizards, host Sundi Myint chats with SmartLogic engineers and fellow Wizards Dan Ivovich and Charles Suggs about the practical tooling that surrounds Elixir in a consultancy setting. We dig into how standardized dev environments, sensible scaffolding, and clear observability help teams ship quickly across many client projects without turning every app into a snowflake. Join us for a grounded tour of what’s working for us today (and what we’ve retired), plus how we evaluate new tech (including AI) through a pragmatic, Elixir-first lens.
http://smartlogic.io
https://nix.dev/
https://github.com/ash-project/igniter
Elixir Wizards S13E01 Igniter with Zach Daniel https://youtu.be/WM9iQlQSF_g
https://github.com/elixir-explorer/explorer
Elixir Wizards S14E09 Explorer with Chris Grainger https://youtu.be/OqJDsCF0El0
Elixir Wizards S14E08 Nix with Norbert (Nobbz) Melzer https://youtu.be/yymUcgy4OAk
https://jqlang.org/
https://github.com/BurntSushi/ripgrep
https://github.com/resources/articles/devops/ci-cd
https://prometheus.io/
https://capistranorb.com/
https://ansible.com/
https://hexdocs.pm/phoenix/releases.html
https://brunch.io/
https://webpack.js.org/loaders/css-loader/
https://tailwindcss.com/
https://sass-lang.com/dart-sass/
https://grafana.com/
https://pragprog.com/titles/passweather/build-a-weather-station-with-elixir-and-nerves/
https://www.datadoghq.com/
https://sqlite.org/
Elixir Wizards S14E06 SDUI at Cars.com with Zack Kayser https://youtu.be/nloRcgngT_k
https://github.com/features/copilot
https://openai.com/codex/
https://www.anthropic.com/claude-code
YouTube Video: Vibe Coding TEDCO's RFP https://youtu.be/i1ncgXZJHZs
Blog: https://smartlogic.io/blog/how-i-used-ai-to-vibe-code-a-website-called-for-in-tedco-rfp/
Blog: https://smartlogic.io/blog/from-vibe-to-viable-turning-ai-built-prototypes-into-market-ready-mvps/
https://www.thriftbooks.com/w/eragon-by-christopher-paolini/246801
https://tidewave.ai/
!! We Want to Hear Your Thoughts *!!*
Have questions, comments, or topics you'd like us to discuss in our season recap episode?
Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9
Today, co-founders Kimberly Erni and Pei Pei Wang join the Elixir Wizards to discuss their crochet app, LoopedIn. Recognizing a gap in the market for a more user-friendly and interactive crochet pattern experience, they're building an app that makes following patterns easier and more enjoyable for crocheters of all skill levels.
They're building features such as step-by-step guidance, video tutorials, and the ability to upload and convert PDF patterns into an interactive format. Kimberly explains how she's leveraging AI tools to vibe code in Elixir and LiveView.
They highlight the challenges and successes they encountered while creating a Progressive Web App (PWA) that integrates AI-powered features. They also discuss their user research and testing process, which involved gathering feedback from the crochet community to prioritize features and improve the app's UX.
Kimberly and Pei Pei share their thoughts on the potential of AI in the tech industry and how it has assisted them in the development and iteration process. They emphasize the importance of understanding the code generated by AI and the need for proper testing and verification. They offer advice to others looking to create passion projects, stressing the value of finding a partner with complementary skills and shared enthusiasm for the project.
Amigurumis
https://www.amigurumi.com/
https://pragmaticstudio.com/phoenix-liveview
https://grox.io/about-product/liveview
Creating a Local First LiveView App https://www.youtube.com/watch?v=kcafwf14SDo
https://capacitorjs.com/docs
https://flutter.dev/
https://passion.place/
https://cursor.com/
https://claude.ai/
https://nerves-project.org/
https://crochetapp.web.app/
https://www.figma.com/
Little Red Book App https://www.xiaohongshu.com/
!! Try the LoopedIn app here 👉 https://looped-in.gigalixirapp.com *!!*
Add it to your phone like an app:
Then you can open it like a regular app! 🎉 Leave a comment if you try it!
!! We Want to Hear Your Thoughts *!!*
Have questions, comments, or topics you'd like us to discuss in our season recap episode?
Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9
In this episode, Elixir Wizard Charles Suggs sits down with Victor Björklund to map out the landscape of Python integration in Elixir applications. From HTTP APIs and external services to embedded runtimes like ErlPort, PythonX, and the Venomous library, we evaluate each approach’s impact on performance, coupling, and developer experience. Victor draws on real-world examples like Scrapy-based web scraping and the Swedish BankID authentication to illustrate best practices for error handling, process pooling, and effective telemetry across the BEAM boundary.
We also tackle the practical side of deployment: packaging Python dependencies in Mix releases, mocking Python calls in tests, and deploying multi-language apps with confidence. Wrapping up, Victor shares his wishlist for even tighter interop (think multiple Python interpreter instances per VM) and offers low-risk entry points, like automating monthly reports, for teams ready to explore the power of Python’s ecosystem within Elixir.
jawdropping.io
https://cplusplus.com/
https://www.python.org/
https://react.dev/
https://nodejs.org/en
https://erlport.org/
https://hexdocs.pm/pythonx/Pythonx.html
https://pyrlang.github.io/Pyrlang/
Python GIL (Global Interpreter Lock): https://realpython.com/python-gil/
https://github.com/devinus/poolboy
https://hexdocs.pm/venomous/Venomous.html
Try-catch https://syntaxdb.com/ref/python/try-catch
https://www.scrapy.org/
https://www.bankid.com/en/
https://www.phoenixframework.org/
https://www.tzeyiing.com/posts/using-a-hunky-poolboy-to-manage-your-python-erlport-processes-in-elixir/
https://medium.com/stuart-engineering/how-we-use-python-within-elixir-486eb4d266f9
https://x.com/bjorklundvictor
https://victorbjorklund.com/
https://www.linkedin.com/in/victorbjorklund/
hello@victorbjorklund.com
In this episode of Elixir Wizards, Charles Suggs sits down with Chris Grainger, co-founder and CTO of Amplified and creator of the Explorer library. Chris explains how Explorer brings the familiar data-frame workflows of R’s dplyr and Python’s pandas into the Elixir world. We explore (pun intended!) how Explorer integrates with Ecto, Nx, and LiveView to build end-to-end data pipelines without leaving the BEAM, and how features like lazy evaluation and distributed frames let you tackle large datasets.
Whether you’re generating reports or driving interactive charts in LiveView, Explorer makes tabular data accessible to every Elixir developer. We wrap up by looking ahead to SQL-style backends, ADBC connectivity, and other features on the Explorer roadmap.
https://hexdocs.pm/explorer/Explorer.html
https://www.amplified.ai/
https://www.r-project.org/
https://vita.had.co.nz/papers/tidy-data.pdf
https://www.tidyverse.org/
https://www.python.org/
https://dplyr.tidyverse.org/
https://go.dev/
https://hexdocs.pm/nx/Nx.html
https://github.com/pola-rs/polars
https://github.com/rusterlium/rustler
https://www.rust-lang.org/
https://www.postgresql.org/
https://hexdocs.pm/ecto/Ecto.html
https://www.elastic.co/elasticsearch
https://arrow.apache.org/
Chris Grainger & Chris McCord Keynote ElixirConf 2024: https://youtu.be/4qoHPh0obv0
https://dbplyr.tidyverse.org/
https://spark.posit.co/
https://hexdocs.pm/pythonx/Pythonx.html
https://hexdocs.pm/vega_lite/VegaLite.html
10 Minutes to Explorer: https://hexdocs.pm/explorer/exploring_explorer.html
https://github.com/elixir-nx/scholar
https://scikit-learn.org/stable/
https://github.com/cigrainger
https://erlef.org/slack-invite/erlef
https://bsky.app/profile/cigrainger.bsky.social
https://github.com/cigrainger
In this episode of Elixir Wizards, Dan Ivovich and Charles Suggs sit down with Norbert “NobbZ” Melzer to discuss how Nix enables reproducible builds, consistent development environments, and reliable deployments for Elixir projects.
Norbert shares his journey from Ruby to Elixir, contrasts Nix with NixOS, and walks us through flakes, nix-shell workflows, sandboxed builds, and rollback capabilities. Along the way, we cover real-world tips for managing Hex authentication, integrating Nix into CI/CD, wrapping Mix releases in Docker, and avoiding common pitfalls, such as flake performance traps.
Whether you’re spinning up your first dev shell or rolling out a production release on NixOS, you’ll come away with a clear, gradual adoption path and pointers to the community mentors and resources that can help you succeed.
https://jobrad-loop.com/
https://nixos.org/
https://nix.dev/
https://nix.dev/manual/nix/2.18/command-ref/nix-shell
https://github.com/nix-darwin/nix-darwin
https://asdf-vm.com/
https://go.dev/
https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/8/html/packaging_and_distributing_software/introduction-to-rpm_packaging-and-distributing-software
Nix Flake templates for Elixir https://github.com/jurraca/elixir-templates
https://www.docker.com/
https://www.sudo.ws/
https://ubuntu.com/
https://archlinux.org/
Nobbz’s blog https://blog.nobbz.dev/blog/
https://ayats.org/blog/nix-workflow
@nobbz.dev on BlueSky
@NobbZ1981 on Twitter
https://www.linkedin.com/in/norbert-melzer/
https://youtu.be/HbtbdLolHeM?si=6M7fulTQZmuWGGCM (talk on CodeBEAM)
Elixir creator José Valim returns to the podcast to unpack the latest developments in Elixir’s set-theoretic type system and how it is slotting into existing code without requiring annotations. We discuss familiar compiler warnings, new warnings based on inferred types, a phased rollout in v1.19/v1.20 that preserves backward compatibility, performance profiling the type checks across large codebases, and precise typing for maps as both records and dictionaries.
José also touches on CNRS academic collaborations, upcoming LSP/tooling enhancements, and future possibilities like optional annotations and guard-clause typing, all while keeping Elixir’s dynamic, developer-friendly experience front and center.
https://github.com/elixir-nx
https://livebook.dev/
https://hexdocs.pm/phoenix_live_view/Phoenix.LiveView.html
https://hexdocs.pm/elixir/main/gradual-set-theoretic-types.html
https://hexdocs.pm/dialyxir/0.4.0/readme.html
https://remote.com/
Draw the Owl meme: https://i.imgur.com/rCr9A.png
https://dashbit.co/blog/data-evolution-with-set-theoretic-types
https://hexdocs.pm/ecto/Ecto.html
https://github.com/elixir-lsp/elixir-ls
Special Guest: José Valim.
Zack Kayser, Staff Software Engineer at cars.com, joins Elixir Wizards Sundi Myint and Charles Suggs to discuss how Cars.com adopted a server-driven UI (SDUI) architecture powered by Elixir and GraphQL to deliver consistent, updatable interfaces across web, iOS, and Android.
We explore why SDUI matters for feature velocity, how a mature design system and schema planning make it feasible, and what it takes, culturally and technically, to move UI logic from client code into a unified backend.
https://cars.com
https://github.com/absinthe-graphql/absinthe
Telemetry & Observability for Elixir Apps Ep: https://youtu.be/1V2xEPqqCso
https://www.phoenixframework.org/blog/phoenix-liveview-1.0-released
https://hexdocs.pm/phoenix_live_view/assigns-eex.html
https://graphql.org/
https://tailwindcss.com/
https://github.com/jeremyjh/dialyxir
https://github.com/rrrene/credo
GraphQL Schema https://graphql.org/learn/schema/
SwiftUI https://developer.apple.com/documentation/swiftui/
Kotlin https://kotlinlang.org/
https://medium.com/airbnb-engineering/a-deep-dive-into-airbnbs-server-driven-ui-system-842244c5f5
Zack’s Twitter: https://x.com/kayserzl/
Zack’s LinkedIn: https://www.linkedin.com/in/zack-kayser-93b96b88
Special Guest: Zack Kayser.
Rustler Core Team Member Sonny Scroggin joins Elixir Wizards Sundi Myint and Charles Suggs. Rustler serves as a bridge to write Native Implemented Functions (NIFs) in Rust that can be called from Elixir code. This combo leverages Rust's performance and memory safety while maintaining Elixir's fault tolerance and concurrency model, creating a powerful solution for CPU-intensive operations within Elixir applications.
Sonny provides guidance on when developers should consider using NIFs versus other approaches like ports or external services and highlights the considerations needed when stepping outside Elixir's standard execution model into native code.
Looking toward the future, Sonny discusses exciting developments for Rustler, including an improved asynchronous NIF interface, API modernization efforts, and better tooling. While Rust offers tremendous performance benefits for specific use cases, Sonny emphasizes that Elixir's dynamic nature and the BEAM's capabilities for distributed systems remain unmatched for many applications. Rustler simply provides another powerful tool that expands what developers can accomplish within the Elixir ecosystem.
https://github.com/rusterlium/rustler
https://github.com/rust-lang/rust
https://www.angelfire.lycos.com/
https://www.webdesignmuseum.org/flash-websites
https://www.php.net/
https://xmpp.org/
https://jabberd2.org/
Geocities: https://cybercultural.com/p/geocities-1995/ (fun fact: when you search Geocities on Google, the results page is in Comic Sans font.)
https://bleacherreport.com/
https://hexdocs.pm/jose/readme.html
https://github.com/rust-lang/rust-bindgen
Erlang Ports: https://www.erlang.org/doc/system/c_port.html
Erlang ETFs (External Term Format): https://www.erlang.org/doc/apps/erts/erl_ext_dist.html
Elixir gRPC https://github.com/elixir-grpc/grpc
gRPC (“Remote Proceduce Call”): https://grpc.io/
dirty_cpu.ex https://github.com/E-xyza/zigler/blob/main/lib/zig/nif/dirty_cpu.ex
ets https://www.erlang.org/doc/apps/stdlib/ets.html
Mnesia https://www.erlang.org/doc/apps/mnesia/mnesia.html
VPPs (Virtual Power Plants): https://www.energy.gov/lpo/virtual-power-plants
https://nixos.org/
WASM WebAssembly with Elixir: https://github.com/RoyalIcing/Orb
Rust Tokio https://tokio.rs/
Getting Started:
https://hexdocs.pm/rustler/0.17.0/Mix.Tasks.Rustler.New.html
https://rustup.rs/
Special Guest: Sonny Scroggin.
Today on Elixir Wizards, hosts Sundi Myint and Charles Suggs catch up with Sean Moriarity, co-creator of the Nx project and author of Machine Learning in Elixir. Sean reflects on his transition from the military to a civilian job building large language models (LLMs) for software. He explains how the Elixir ML landscape has evolved since the rise of ChatGPT, shifting from building native model implementations toward orchestrating best-in-class tools.
We discuss the pragmatics of adding ML to Elixir apps: when to start with out-of-the-box LLMs vs. rolling your own, how to hook into Python-based libraries, and how to tap Elixir’s distributed computing for scalable workloads. Sean closes with advice for developers embarking on Elixir ML projects, from picking motivating use cases to experimenting with domain-specific languages for AI-driven workflows.
https://hexdocs.pm/nx/intro-to-nx.html
https://pragprog.com/titles/smelixir/machine-learning-in-elixir/
https://magic.dev/
https://smartlogic.io/podcast/elixir-wizards/s10-e10-sean-moriarity-machine-learning-elixir/
Pragmatic Bookshelf: https://pragprog.com/
ONNX Runtime Bindings for Elixir: https://github.com/elixir-nx/ortex
https://github.com/elixir-nx/bumblebee
Silero Voice Activity Detector: https://github.com/snakers4/silero-vad
Paulo Valente Graph Splitting Article: https://dockyard.com/blog/2024/11/06/2024/nx-sharding-update-part-1
Thomas Millar's Twitter https://x.com/thmsmlr
https://github.com/thmsmlr/instructor_ex
https://phoenix.new/
https://tidewave.ai/
https://en.wikipedia.org/wiki/BERT_(language_model)
Talk: PyTorch: Fast Differentiable Dynamic Graphs in Python by Soumith Chintala
https://hexdocs.pm/axon/Axon.html
https://hexdocs.pm/exla/EXLA.html
VLM (Vision Language Models Explained): https://huggingface.co/blog/vlms
https://github.com/ggml-org/llama.cpp
Vector Search in Elixir: https://github.com/elixir-nx/hnswlib
https://www.amplified.ai/
Llama 4 https://mistral.ai/
Mistral Open-Source LLMs: https://mistral.ai/
https://github.com/openai/whisper
Elixir Wizards Season 5: Adopting Elixir https://smartlogic.io/podcast/elixir-wizards/season-five
https://docs.ray.io/en/latest/ray-overview/index.html
https://hexdocs.pm/flame/FLAME.html
https://firecracker-microvm.github.io/
https://fly.io/
https://kubernetes.io/
WireGuard VPNs https://www.wireguard.com/
https://hexdocs.pm/phoenixpubsub/Phoenix.PubSub.html
https://www.manning.com/books/deep-learning-with-python
Code BEAM 2025 Keynote: Designing LLM Native Systems - Sean Moriarity
Ash Framework https://ash-hq.org/
Sean’s Twitter: https://x.com/seanmoriarity
Sean’s Personal Blog: https://seanmoriarity.com/
Erlang Ecosystems Foundation Slack: https://erlef.org/slack-invite/erlef
Elixir Forum https://elixirforum.com/
Sean’s LinkedIn: https://www.linkedin.com/in/sean-m-ba231a149/
Special Guest: Sean Moriarity.
Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic’s Claude, Google’s Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies.
Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models.
Key topics discussed in this episode:
• Abstracting LLM APIs behind a unified Elixir interface
• Building and managing conversation chains across multiple models
• Exposing application functionality to LLMs through tool integrations
• Automatic retries and fallback chains for production resilience
• Supporting a variety of LLM providers
• Tracking and optimizing token usage for cost control
• Configuring API keys, authentication, and provider-specific settings
• Handling rate limits and service outages with degradation
• Processing multimodal inputs (text, images) in Langchain workflows
• Extracting structured data from unstructured LLM responses
• Leveraging “content parts” in v0.4 for advanced thinking-model support
• Debugging LLM interactions using verbose logging and telemetry
• Kickstarting experiments in LiveBook notebooks and demos
• Comparing Elixir LangChain to the original Python implementation
• Crafting human-in-the-loop workflows for interactive AI features
• Integrating Langchain with the Ash framework for chat-driven interfaces
• Contributing to open-source LLM adapters and staying ahead of API changes
• Building fallback chains (e.g., OpenAI → Azure) for seamless continuity
• Embedding business logic decisions directly into AI-powered tools
• Summarization techniques for token efficiency in ongoing conversations
• Batch processing tactics to leverage lower-cost API rate tiers
• Real-world lessons on maintaining uptime amid LLM service disruptions
Links mentioned:
https://rubyonrails.org/
https://fly.io/
https://zionnationalpark.com/
https://podcast.thinkingelixir.com/
https://github.com/brainlid/langchain
https://openai.com/
https://claude.ai/
https://gemini.google.com/
https://www.anthropic.com/
Vertex AI Studio https://cloud.google.com/generative-ai-studio
https://www.perplexity.ai/
https://azure.microsoft.com/
https://hexdocs.pm/ecto/Ecto.html
https://oban.pro/
Chris McCord’s ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk
Getting started:
https://hexdocs.pm/langchain/getting_started.html
https://ash-hq.org/
https://hex.pm/packages/langchain
https://hexdocs.pm/igniter/readme.html
https://www.youtube.com/watch?v=WM9iQlQSF_g
@brainlid on Twitter and BlueSky
Special Guest: Mark Ericksen.
Connor Rigby joins the Elixir Wizards to talk about Blue Heron BLE (Bluetooth Low Energy) support for Elixir apps. Blue Heron implements the BLE specs in pure Elixir, leveraging binary pattern matching and concurrent message processing to handle Bluetooth protocols. Unlike most solutions that require C ports or NIFs, Blue Heron runs entirely in user space, so it works seamlessly in both Nerves-based embedded projects and (eventually) desktop Elixir applications.
We discuss how Nerves development differs from building Phoenix apps. Connor shares challenges he's experienced with hardware compatibility, where some chips only partially implement the spec, and he discusses the surprisingly deep (but sometimes incomplete) world of BLE device profiles. His tip for anyone entering the BLE space: read the official spec instead of trusting secondhand blog posts. Tools like Nerves LiveBook give you hands-on examples, so you can get a BLE prototype running on a Raspberry Pi and your phone in no time.
https://github.com/ConnorRigby/
https://github.com/blue-heron/
https://nerves-project.org/
BLE (Bluetooth Low Energy) https://en.wikipedia.org/wiki/Bluetooth_Low_Energy
https://developer.apple.com/ibeacon/
https://learnyousomeerlang.com/building-otp-applications
Linux https://www.linux.org/
HCI (Host Controller Interface) https://en.wikipedia.org/wiki/Host_controller_interface
Circuits UART Library https://hexdocs.pm/circuits_uart/readme.html
SPI (Serial Peripheral Interface) https://github.com/elixir-circuits/circuits_spi
SDIO (Secure Digital Input Output https://en.wikipedia.org/wiki/SDIO
Raspberry Pi https://www.raspberrypi.com/
Coral SoM Dev Board https://coral.ai/products/dev-board/
BeagleBone Single-Board Linux Computer https://www.beagleboard.org/boards/beaglebone-black
https://www.bluetooth.com/bluetooth-resources/intro-to-bluetooth-gap-gatt/
Genservers https://hexdocs.pm/elixir/1.12/GenServer.html
https://hexdocs.pm/ecto/Ecto.html
https://github.com/elixir-sqlite/ecto_sqlite3
https://github.com/nerves-livebook/nerves_livebook
Special Guest: Connor Rigby.
In the Season 14 premiere, hosts Dan Ivovich and Sundi Myint chat with Isaac Yonemoto, creator of the Zigler library, to explore how Zigler brings Zig’s performance and safety to Elixir through Native Implemented Functions (NIFs). Isaac walks through the core design of Zigler and how it auto-generates the Elixir-to-Zig bridge, enforces type safety, and exposes multiple execution modes (normal, dirty, threaded). The conversation covers real-world applications, from SIMD-powered token selection for LLM hardware acceleration to OTP-style fault tolerance in low-level code.
Isaac shares his own journey: stepping back from professional software work to launch a biotech startup focused on reducing drug manufacturing costs while continuing to maintain Zigler and even leveraging Elixir for bioinformatics pipelines.
https://github.com/E-xyza/zigler
https://github.com/ziglang/zig
https://vidalalabs.com/
Zig Programming Language: https://ziglang.org/
https://obsidian.md/
https://hexdocs.pm/elixir/macros.html
https://erlang.org/documentation/doc-4.7.3/doc/extensions/macros.html
A Deep Dive Into the Elixir AST: https://dorgan.ar/posts/2021/04/the_elixir_ast/
https://www.erlang.org/doc/system/nif.html
https://nodejs.org/en
Llama Open-Source LLM: https://www.llama.com/
Mixtral Open-Source LLM: https://mistral.ai/news/mixtral-of-experts
https://Fly.io
SIMD: https://en.wikipedia.org/wiki/Single_instruction,_multiple_data
https://opentrons.com/
CI/CD: https://en.wikipedia.org/wiki/CI/CD
https://hexdocs.pm/zigler/Zig.html
http://www.x.com/DNAutics
https://bsky.app/profile/dnautics.bsky.social
For the Season 13 finale, Elixir Wizards Dan and Charles are joined by Spin42 Engineers Marc Lainez, Thibault Poncelet, and Loïc Vigneron to discuss their work retrofitting a 2007 VW Polo and creating an Open Vehicle Control System (OVCS). Using Elixir, Nerves, and Raspberry Pis, the team is reimagining vehicle technology to extend the lifespan of older cars and reduce waste—all while making the process approachable and open source.
The Spin42 team shares the technical details behind OVCS and how they use Elixir and Nerves to interact with the CAN bus and build a Vehicle Management System (VMS) to coordinate various vehicle components. They dive into the challenges of reverse engineering CAN messages, designing a distributed architecture with Elixir processes, and ensuring safety with fail-safe modes and emergency shutoffs.
Beyond the technical, the team discusses their motivation for the project—upgrading older vehicles with modern features to keep them on the road, building an open-source platform to share their findings with others, and above all-- to just have fun. They explore potential applications for OVCS in boats, construction equipment, and other vehicles, while reflecting on the hurdles of certifying the system for road use.
If you’ve ever wondered how Elixir and Nerves can drive innovation beyond software, this episode is packed with insights into automotive computing, hardware development, and the collaborative potential of open-source projects.
https://www.spin42.com/
https://nerves-project.org/
Quadcopter https://github.com/Spin42/elicopter
https://github.com/linux-can/can-utils
https://docs.kernel.org/networking/can.html
https://github.com/open-vehicle-control-system/cantastic
https://github.com/commaai/opendbc
https://en.wikipedia.org/wiki/CAN_bus#CAN_FD
https://comma.ai/
https://en.wikipedia.org/wiki/CAN_FD
https://webkit.org/wpe/
https://docs.nvidia.com/jetson/archives/r35.4.1/DeveloperGuide/text/SD/WindowingSystems/WestonWayland.html
https://buildroot.org/
https://vuejs.org/
https://flutter.dev/
https://github.com/smartrent/elixir_flutter_embedder
https://www.raspberrypi.com/products/raspberry-pi-5/
The Rabbit Pickup https://www.hemmings.com/stories/value-guide-1980-83-volkswagen-pickup
https://www.expresslrs.org/software/mavlink
https://industrial-training-master.readthedocs.io/en/melodic/_source/session7/ROS1-ROS2-bridge.html
https://github.com/ros2/rcl
https://github.com/open-vehicle-control-system/traxxas
Contact Marc, Thibault, and Loïc: info@spin42.com
Special Guests: Loïc Vigneron, Marc Lainez, and Thibault Poncelet.
The Elixir Wizards welcome Jim Freeze, organizer of ElixirConf and creator of the Horizon library. Jim shares his journey from organizing Ruby conferences to founding and growing ElixirConf into the community cornerstone it is today. He reflects on the challenges of running a major conference, how COVID-19 shaped the event, and why the talks remain an evergreen resource for the Elixir ecosystem.
We discuss Horizon, Jim’s deployment library for Elixir and Phoenix applications with Postgres on FreeBSD. Driven by a need for simplicity and cost-effectiveness, Jim explains how Horizon minimizes external dependencies while delivering fault-tolerant and streamlined setups. He compares it to tools like Fly, Terraform, and Ansible, highlighting its low cognitive load and flexibility—key benefits for developers seeking more control over their deployment environments.
Jim also unpacks the broader value of understanding and customizing your deployment stack rather than relying solely on managed services. He discusses the benefits of using FreeBSD, including its stability, security, and performance advantages, as well as its robust ZFS file system.
Jim emphasizes the importance of coherent deployment workflows, community collaboration, and contributions to open-source projects like Horizon. He invites listeners to explore Horizon, share feedback, and own their deployments.
Nine Minutes of Elixir
https://www.youtube.com/@ElixirConf
https://github.com/liveview-native
https://github.com/elixir-nx/nx
https://2024.elixirconf.com/
https://github.com/jfreeze/horizon
https://hexdocs.pm/horizon/deploying-with-horizon.html#web-cluster-topology
https://kamal-deploy.org/
https://fly.io/
https://aws.amazon.com/console/
https://www.digitalocean.com/
https://cloud.google.com/
https://www.cloudflare.com/
https://www.hetzner.com/
https://www.proxmox.com/en/
https://nginx.org/
https://github.com/openzfs/zfs
Zettabyte File System https://en.wikipedia.org/wiki/ZFS
https://www.postgresql.org/
https://www.terraform.io/
https://www.ansible.com/
https://docs.freebsd.org/
https://www.redhat.com/
https://ubuntu.com/
https://esbuild.github.io/
Listener's Survey: https://smr.tl/EWS13
Special Guest: Jim Freeze.
Zack Kayser and Ethan Gunderson, Software Engineers at Cars Commerce, join the Elixir Wizards to share their expertise on telemetry and observability in large-scale systems. Drawing from their experience at Cars.com—a platform handling high traffic and concurrent users—they discuss the technical and organizational challenges of scaling applications, managing microservices, and implementing effective observability practices.
The conversation highlights the pivotal role observability plays in diagnosing incidents, anticipating system behavior, and asking unplanned questions of a system. Zack and Ethan explore tracing, spans, and the unique challenges introduced by LiveView deployments and WebSocket connections.
They also discuss the benefits of OpenTelemetry as a vendor-agnostic instrumentation tool, the significance of Elixir’s telemetry library, and practical steps for developers starting their observability journey. Additionally, Zack and Ethan introduce their upcoming book, Instrumenting Elixir Applications, which will offer guidance on integrating telemetry and tracing into Elixir projects.
https://www.carscommerce.inc/
https://www.cars.com/
https://hexdocs.pm/telemetry/readme.html
https://kubernetes.io/
https://github.com/ninenines/cowboy
https://hexdocs.pm/bandit/Bandit.html
https://hexdocs.pm/broadway/Broadway.html
https://hexdocs.pm/oban/Oban.html
https://www.dynatrace.com/
https://www.jaegertracing.io/
https://newrelic.com/
https://www.datadoghq.com/
https://www.honeycomb.io/
https://fly.io/phoenix-files/how-phoenix-liveview-form-auto-recovery-works/
https://www.elastic.co/
https://opentelemetry.io/
https://opentelemetry.io/docs/languages/erlang/
https://opentelemetry.io/docs/concepts/signals/traces/
https://opentelemetry.io/docs/specs/otel/logs/
https://github.com/runfinch/finch
https://hexdocs.pm/telemetry_metrics/Telemetry.Metrics.html
https://opentelemetry.io/blog/2024/state-profiling
https://www.instrumentingelixir.com/
https://prometheus.io/
https://www.datadoghq.com/dg/monitor/ts/statsd/
https://x.com/kayserzl
https://github.com/zkayser
https://bsky.app/profile/ethangunderson.com
https://github.com/open-telemetry/opentelemetry-collector-contrib
Special Guests: Ethan Gunderson and Zack Kayser.
AJ (Alykhan Jetha), CEO and CTO of Marketcircle, joins the Elixir Wizards to share his experience building and evolving Daylite, their award-winning CRM and business productivity app for Apple users. He details his experiences as a self-taught programmer and how Marketcircle has navigated pivots, challenges, and opportunities since its founding in 1999.
AJ explains why they migrated Daylite’s backend to Elixir, focusing on their sync engine, which demands high concurrency and fault tolerance. He highlights how Elixir has improved performance, reduced cloud costs, and simplified development with its approachable syntax and productive workflows.
The conversation also touches on the technical hurdles of deploying native apps for Apple devices and the potential for integrating new technologies like LiveView Native to streamline cross-platform development.
For technical founders, AJ emphasizes the importance of leveraging your strengths (“superpowers”), staying deeply connected to the development process, and finding stability in tools like Elixir amidst a rapidly evolving tech ecosystem. He also shares Marketcircle’s roadmap for migrating more customers to Elixir-powered systems and explores the potential for new features in their native apps.
Tune in for insights on building resilient systems, navigating technical and business challenges, and how Elixir is shaping Marketcircle’s future.
https://www.marketcircle.com/
Daylite.app
https://www.nextcomputers.org/
https://www.digitalocean.com/
Python Async https://docs.python.org/3/library/asyncio.html
https://github.com/sinatra/sinatra
https://github.com/dependabot
https://kafka.apache.org/
https://www.djangoproject.com/
https://github.com/socketry/falcon
https://github.com/puma/puma
https://www.swift.org/blog/announcing-swift-6/
https://en.wikipedia.org/wiki/Async/await
https://www.ffmpeg.org/
https://www.sqlite.org/
https://github.com/commanded/commanded
https://pragprog.com/titles/khpes/real-world-event-sourcing/
https://en.wikipedia.org/wiki/Ship_of_Theseus
https://reactnative.dev/
https://www.electronjs.org/
https://en.wikipedia.org/wiki/WebOS
https://www.linkedin.com/in/alykhanjetha/
https://bsky.app/profile/ajetha.bsky.social
Special Guest: Alykhan Jetha.
Justin Tormey, co-founder of Castmagic, joins the Elixir Wizards to discuss building an AI-powered content creation app. Castmagic repurposes audio and video into social media posts, blog articles, newsletters, and more. The tech stack leverages OpenAI and Anthropic LLMs with Elixir as the coordination layer and Phoenix LiveView powering the front end.
Justin dives into the technical details of Castmagic, including the integration of JavaScript libraries like ProseMirror and TipTap through LiveSvelte, as well as enabling real-time collaboration with CRDTs and YDoc. He shares the benefits and challenges of using Elixir for rapid development, as well as the trade-offs between custom code and off-the-shelf solutions.
The conversation also covers Justin’s entrepreneurial journey, highlighting the advantages of bootstrapping over venture capital, the importance of acquiring early customers, and creative marketing strategies like affiliate programs and software marketplaces.
Whether you're an Elixirist exploring machine learning or an aspiring tech founder, tune in to learn more about AI with Elixir, navigating startup challenges, and turning ideas into impactful software.
https://www.castmagic.io/
https://pragprog.com/titles/jaerlang2/programming-erlang-2nd-edition/
https://www.blockchain.com/
https://fly.io/
https://hexdocs.pm/live_svelte/readme.html
https://github.com/woutdp/live_svelte
https://prosemirror.net/
https://tiptap.dev/
https://docs.yjs.dev/api/y.doc
https://hexdocs.pm/polymorphic_embed/readme.html
https://github.com/elixir-nx/nx
https://github.com/elixir-nx/tokenizers
https://github.com/thmsmlr/instructor_ex
https://openai.com/
https://www.anthropic.com/
https://getoban.pro/
https://github.com/wojtekmach/req
https://ollama.com/
https://x.com/j_tormey
Special Guest: Justin Tormey.
Stephen Solka, CTO and co-founder of Standd.io, joins Elixir Wizards Owen and Charles to share the journey of building an AI-native deal intelligence and due diligence platform. Designed to streamline document analysis and text generation for venture capital firms, Standd.io leverages large language models and AI tools to address key customer pain points in document workflows.
Stephen explains how Elixir and Phoenix LiveView enabled rapid UI iteration and seamless integration between the front-end and back-end.
The conversation also explores the human side of startup life. Stephen reflects on balancing tech debt with customer demands, the value of accelerators in building networks and securing funding, and the challenges of pricing in early-stage startups. He emphasizes the importance of validating ideas with potential customers and learning from the hurdles of growing a business.
Tune in for insights on leveraging AI in Elixir, solving real-world problems, and navigating the journey from concept to company.
Contact Stephen & Julie at Standd: founders@standd.io
https://www.standd.io/
https://www.digitalocean.com/community/tutorials/gangs-of-four-gof-design-patterns
https://www.thriftbooks.com/w/code-complete_steve-mcconnell/248753/item/15057346/
https://aws.amazon.com/sagemaker/
https://www.anthropic.com/
https://getoban.pro/
https://kubernetes.io/
https://www.apollographql.com/
https://aws.amazon.com/startups/accelerators
https://accelerate.techstars.com/
https://aider.chat/
https://github.com/Aider-AI/aider
https://neovim.io/
https://ui.shadcn.com/
https://tailwindui.com/
https://www.ycombinator.com/
https://www.thriftbooks.com/w/close-to-the-machine-technophilia-and-its-discontents_ellen-ullman/392556
Special Guest: Stephen Solka.
Today on Elixir Wizards, Owen Bickford, fellow Wizard and creator of the WebauthnComponents library, joins us to talk about building passwordless authentication for Phoenix LiveView applications. Owen walks us through the evolution of authentication—touching on everything from plain text passwords to multi-factor setups—and explains the security flaws and user experience issues each method presents. He describes passkeys, a solution based on the WebAuthn API, which improves security and ease of use.
The conversation covers cross-device support for passkeys, the role of password managers in keeping credentials synced, and ideas for enhancing WebauthnComponents, like supporting multiple passkeys per account. Owen invites listeners to contribute to the library’s development on GitHub and emphasizes the role passkeys play in improving app security and user experience.
https://github.com/liveshowy/webauthn_components
https://en.wikipedia.org/wiki/Salt_(cryptography)
https://en.wikipedia.org/wiki/Rainbow_table
https://en.wikipedia.org/wiki/Multi-factor_authentication
https://oauth.net/2/
https://developer.mozilla.org/en-US/docs/Web/API/Web_Authentication_API
https://www.w3.org/TR/webauthn-3/
https://www.microsoft.com/en-us/windows/tips/windows-hello
https://trustedcomputinggroup.org/resource/trusted-platform-module-tpm-summary/
https://hexdocs.pm/phoenix/mix_phx_gen_auth.html
https://en.wikipedia.org/wiki/Public-key_cryptography
SSH Protocol (Secure Shell) https://en.wikipedia.org/wiki/Secure_Shell
https://www.yubico.com/products/yubikey-5-overview/
https://fidoalliance.org/how-fido-works/
https://1password.com/
https://keepassxc.org/
https://hexdocs.pm/ecto_ulid/Ecto.ULID.html
https://en.wikipedia.org/wiki/Universally_unique_identifier
https://hexdocs.pm/ecto/Ecto.Schema.html
https://hexdocs.pm/sourceror/
https://github.com/ash-project/igniter
Forum thread:
https://elixirforum.com/t/webauthnlivecomponent-passwordless-auth-for-liveview-apps/49941
