AshStudio is a Visual Studio Code extension purpose-built for Ash Framework projects. With AshStudio, you get a better experience for building Elixir applications with Ash.

🚀 Key Features

Intuitive Section Navigation: Jump between top-level sections of your Ash resources with Ctrl+Shift+P, breadcrumbs, and a custom sidebar. The extension parses your codebase, so navigation is always context-aware and lightning fast.

Jump-to-Definition: Ctrl+Click navigation to actions, aggegates, attributes, calculations, and resource definitions.

Mermaid Diagram Generation and Viewing with CodeLens: Instantly visualize relationships and resource diagrams right in your editor. CodeLens annotations provide one-click access to diagrams, making it easier to understand and communicate your architecture.

Available in both the Microsoft store and OpenVSX. Check out the github repo for more.

Speaking to many members of the Elixir community including developers as well as technical and business decision-makers, we’ve identified that the Elixir ecosystem needs a curated and showcase of business adoption in digital products.

That’s why we’ve created the Elixir Hub, showcasing adopters, knowledge resources and other valuable Elixir-related information.

Visit the Elixir Hub here: https://curiosum.com/sl/jwko5i56

Episode 264 of Thinking Elixir. News includes Phoenix v1.8 shipping with an AGENTS markdown file for new apps to enhance coding agent experiences, Popcorn bringing Elixir to the browser through WebAssembly with no installation required, LiveVue v0.6.0 with 90% payload size reduction through JSON Patch operations, an awesome LiveView development tip for hot-reloading code changes while preserving LiveView state, MDEx v0.8 adding decorators support for enhanced code block styling, Hologram v0.5.0 delivering major performance improvements with milliseconds to microseconds execution times, ElixirConf US 2025 tickets available with our discount code, and a discussion about how AI-generated code is creating new bottlenecks in QA and code review processes, and more!

https://www.youtube.com/watch?v=8hMcN-WLp7I

Let’s explore the fundamentals of stack traces in Elixir, how to read and interpret them, and some best practices for debugging and error handling: https://blog.appsignal.com/2025/08/05/understanding-stack-traces-in-elixir.html

learn more: https://www.erlang-solutions.com/blog/supporting-the-beam-community-with-free-ci-cd-security-audits/

What the Free CI/CD Audits Offer

Erlang Solutions’ free CI/CD security audits for open source projects are powered by SAFE (Security Audit for Erlang/Elixir), a dedicated solution built to detect vulnerabilities in Erlang and Elixir code that could leave systems exposed to cyber attacks.

The CI/CD version of SAFE integrates directly into your development pipeline (e.g. GitHub Actions, CircleCI, Jenkins), enabling you to scan for vulnerabilities automatically every time code is committed or updated. This helps projects:

Detect issues early, before they reach production Maintain a more secure and resilient codebase Improve visibility of risks within day-to-day workflows Results are delivered quickly– typically within a few minutes. For larger codebases, it may take up to 20–30 minutes. The feedback is designed to be clear, actionable, and minimally disruptive.

Parrot Platform is a real-time communication platform built the Elixir way. Parrot Platform provides Elixir libraries and OTP behaviours implementing the SIP (Session Initiation Protocol) stack and leveraging Membrane multimedia libraries for media streaming.

@bitcrowd - LLM logits processing, Coby Benveniste - AI with gen_statem, Dan Janowski - Champion the BEAM, Daniel Gorin - New debugger, Daniil Popov - Olympics broadcasts, Dániel Horpácsi & Péter Bereczky - Formal methods

https://codebeameurope.com/#speakers

Don’t miss the #ElixirConf US keynote by @joshprice - founder of @Alembic, polyglot dev & tooling enthusiast. He’s sharing lessons from years of building ambitious software with smart teams & better processes. https://elixirconf.com/participants/josh-price/

Don’t miss the #ElixirConf US keynote by @joshprice - founder of @Alembic, polyglot dev & tooling enthusiast. He’s sharing lessons from years of building ambitious software with smart teams & better processes. https://elixirconf.com/participants/josh-price/

Schaeffler built a global NATS mesh that just works Schaeffler’s Max Arndt and Jean-Noel Moyne from Synadia spill the secrets at MQSummit 2025 https://mqsummit.com/talks/nats-on-edge/

According to SO Developer Survey 2025: Elixir again on the podium https://survey.stackoverflow.co/2025/technology/#admired-and-desired

TantivyEx provides a complete NIF wrapper to Tantivy, Rust full-text search library. Build powerful search applications with support for all Tantivy field types, custom tokenizers, schema introspection, and advanced indexing features.

Hex: https://hex.pm/packages/tantivy_ex

Github: https://github.com/alexiob/tantivy_ex

Monday, August 4, 6pm MDT the online Denver Elixir Meetup is happening! Join for a talk by Holden Oullette, “What’s Next for Elixir Security”

Holden currently works for Netflix (not Paraxial.io, despite the similarities in appearance with Michael some have noted) and maintains the open source Sobelow security scanner for Elixir. Hope to see you there!

https://www.meetup.com/denver-erlang-elixir/events/310256108

How do you make sure security holds up in real-world BEAM projects? Jonatan Männchen (CISO at the Erlang Ecosystem Foundation) spoke with Erlang Solutions about using the Security Audit for Erlang/Elixir (SAFE) to review an OIDC client library.

Part 1 – [SAFE and OIDCC] How the audit process worked, what was found, and how it improved the code. https://www.erlang-solutions.com/webinars/safe-and-oidcc/

Part 2 – [Security and the BEAM Ecosystem] Covers CVEs, common risks, and how the EEF is supporting better security across the ecosystem. https://www.erlang-solutions.com/webinars/security-and-the-beam-ecosystem/

Short, practical, and one to add to your listening if you’re working with Erlang, Elixir, or anything BEAM-based.

Episode 263 of Thinking Elixir. News includes the BEAM runtime fitting into just 16MB for the GRiSP Nano prototype, the BBC using Elixir to serve most of their web and mobile traffic, GenStage’s pull-based design delivering 50% performance improvements, a new PDF data extraction library that leverages Python through PythonX, AppSignal’s guide to deploying Phoenix with Kamal, an Elixir School lesson on embedding Lua in applications, Peter Solnica’s new inflection library for word transformations, Fly.io announcing Docker Compose compatibility for multi-container deployments, and the full ElixirConf 2025 agenda going live with discount tickets available, and more!

https://www.youtube.com/watch?v=M9SHo_pNyu8

Don’t miss Stephanie Lane’s talk as she takes us on a visual journey through Elixir’s config layers! Save your spot. https://elixirconf.com/talks/elixir-s-configuration-layers-a-visual-journey/

https://ievgenpyrogov.com/requests-without-curl/

Tracing execution of entire HTTP requests in Elixir can be tricky because of the inherent nature of the short-lived processes handling them. Is there a way to simulate the HTTP request, while allowing room for the set up any instrumentation?

In this blog post I show how to do it without modifying application code.

In this case study, we showcase how Elixir unlocks a fundamentally better architecture for building autonomous AI agents. Most agentic AI frameworks today are built in Python—and they buckle under the pressure of concurrency, crash recovery, and distributed deployments. We took a different path.

https://www.appunite.com/blog/integrating-generative-ai-into-elixir-based-applications-by-using-the-jido-agentic-framework

First-Class gRPC Streams in Elixir: A new composable API

For a long time, the Elixir community has lacked a truly idiomatic way to handle gRPC streaming. While unary RPCs have always been well-supported in the elixir-grpc library, stream handling felt incomplete — too low-level and too imperative for a language that thrives on functional and reactive principles.

This gap was finally addressed in issue #270, which led to a major improvement: first-class support for gRPC streams using a functional and declarative API that fits seamlessly into the Elixir ecosystem.

🚀 This new API is available starting from elixir-grpc version 0.10.0 — with the latest release being 0.10.2.

It’s worth highlighting the irony: while Elixir is inherently concurrent and reactive — thanks to the BEAM and its actor-based model — its gRPC streaming capabilities lagged behind those found in other ecosystems.

Languages like Java (via Project Reactor or RxJava), Kotlin (with coroutines and Flows), and JavaScript (using RxJS or async iterators) have long embraced reactive paradigms for working with gRPC streams. These models allowed developers to work with streams as composable, functional data flows.

Until recently, Elixir developers lacked similar expressive power. The new API introduced in version 0.10.0 finally brings that same level of expressiveness and control to the Elixir world — and in a way that feels natural, pure, and declarative.

A Functional API for Streaming

The new streaming API is designed around stream composition and functional data flows, relying on GRPC.Stream to model and process streaming inputs and outputs. This new abstraction enables a developer experience that feels intuitive, powerful, and aligned with some Elixir’s design principles.

Here’s an example of the new API in action:

defmodule HelloworldStreams.Server do
  @moduledoc false
  use GRPC.Server, service: Stream.EchoServer.Service

  alias HelloworldStreams.Utils.Transformer
  alias GRPC.Stream, as: GRPCStream

  alias Stream.HelloRequest
  alias Stream.HelloReply

  @spec say_unary_hello(HelloRequest.t(), GRPC.Server.Stream.t()) :: any()
  def say_unary_hello(request, _materializer) do
    GRPCStream.unary(request)
    |> GRPCStream.ask(Transformer)
    |> GRPCStream.map(fn %HelloReply{} = reply ->
      %HelloReply{message: "[Reply] #{reply.message}"}
    end)
    |> GRPCStream.run()
  end

  @spec say_server_hello(HelloRequest.t(), GRPC.Server.Stream.t()) :: any()
  def say_server_hello(request, materializer) do
    create_output_stream(request)
    |> GRPCStream.from()
    |> GRPCStream.run_with(materializer)
  end

  defp create_output_stream(msg) do
    Stream.repeatedly(fn ->
      index = :rand.uniform(10)
      %HelloReply{message: "[#{index}] I'm the Server for #{msg.name}"}
    end)
    |> Stream.take(10)
    |> Enum.to_list()
  end

  @spec say_bid_stream_hello(Enumerable.t(), GRPC.Server.Stream.t()) :: any()
  def say_bid_stream_hello(request, materializer) do
    output_stream =
      Stream.repeatedly(fn ->
        index = :rand.uniform(10)
        %HelloReply{message: "[#{index}] I'm the Server ;)"}
      end)

    GRPCStream.from(request, join_with: output_stream)
    |> GRPCStream.map(fn
      %HelloRequest{} = hello ->
        %HelloReply{message: "Welcome #{hello.name}"}

      output_item ->
        output_item
    end)
    |> GRPCStream.run_with(materializer)
  end
end

As seen in the example above, composing different stages in the streaming pipeline is straightforward. Each step in the transformation can be expressed clearly, making the overall flow easier to follow and reason about.

To support this, the GRPC.Stream module offers a set of functions designed to operate directly on the stream, such as map, filter, flat_map, partition, reduce, uniq and so on. These utilities provide the flexibility needed to build expressive and efficient streaming logic while maintaining clarity and composability throughout the pipeline.

Conclusion

The introduction of a first-class streaming API represents a meaningful step forward for the Elixir gRPC ecosystem. It provides a more consistent and idiomatic way to implement streaming services using well-established functional constructs.

This new approach makes it easier to model real-time interactions, handle bi-directional communication, and process data streams using composable and readable code.

Further details and examples can be found in the official elixir-grpc repository and hex.

. @mattludwigs, Sr. Software Engineer at @River, brings nearly a decade of Elixir experience to #ElixirConfUS!

In “The Alchemy of Security”, he’ll share practical techniques for crafting secure Elixir apps from Phoenix to Nerves. https://elixirconf.com/talks/the-alchemy-of-security-crafting-secure-applications-in-elixir/