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Artwork for BEAM There, Done That

BEAM There, Done That

Plangora
Elixir
BEAM
Erlang
Ash Framework
Concurrency
Prolog
Sonic Pi
Crdts
Local First
Robert Virding
Axon
Python
OTP
Sonic Tau

BEAM There, Done That is a podcast about building real systems with Elixir, Erlang, and the BEAM. We’ve built it before — distributed systems, fault‑tolerant services, event pipelines, real‑time apps, production nightmares, and the supervision trees that saved them. Each episode dives into practical lessons from shipping software on the BEAM: architecture decisions, scaling challenges, operational... more

PublishesWeeklyEpisodes8Founded2 months ago
Number of ListenersCategory
Technology

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Artwork for BEAM There, Done That

Latest Episodes

The Code is the Instrument: Sam Aaron on the Why of the Sonic Pi

Erlang was designed for reliability in telephone switches, but its core principles — isolated processes, message passing, “let it crash supervision — anticipated problems we’re only now grappling with at scale. Four decades later, these ideas are fin... more

We catch up with Kimutai Kiprotich about using Elixir and the BEAM to build AI Agents.

We catch up with @zach_daniel about @ashframework .

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Recent Guests

Sam Aaron
Programmer and musician; creator of Sonic Pi and Sonic Tau
Independent researcher/artist in live coding and music tech
Episode: The Code is the Instrument: Sam Aaron on the Why of the Sonic Pi
Robert Virding
Co-inventor of Erlang, working for Erlang Solutions
Erlang Solutions
Episode: Redistributing Our Systems. Erlang's Enduring Lessons for Local-First
Kimutai Kiprotich
CTO at Nexus Scale, AI sales agent developer
Nexus Scale.ai
Episode: Building Real-Time AI Agents with Kimutai Kiprotich
Zach Daniel
Author of Ash Framework; VP of Engineering at Remedy Meds
Remedy Meds
Episode: The Ash Framework: Rationale, Design, and Adoption — with Zach Daniel
Jose Valim
Creator of Elixir, programmer, open-source developer
Elixir Core Team
Episode: Efficiency Gap: Why Elixir Outruns AI Coding Agents
Paulo Valente
Maintainer of NX and Elixir GRPC library; platform engineer at TV Labs
TV Labs
Episode: Numerical Elixir and Machine Learning with Paulo Valente

Host

Francesco Cesarini
Co-host with deep involvement in BEAM, Elixir, and Erlang communities; linked to practical production experience and ecosystem contributions.

Chart Rankings

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Apple Podcasts
#213
France/Technology
Apple Podcasts
#72
Spain/Technology
Apple Podcasts
#75
Sweden/Technology

Talking Points

Recent interactions between the hosts and their guests.

Redistributing Our Systems. Erlang's Enduring Lessons for Local-First
Q: What are the trade-offs when using CRDTs for distributed data on devices?
CRDTs provide eventual consistency and offline operation but require careful UI and UX to communicate out-of-sync states and to manage the history and merge semantics, with trade-offs in complexity and storage.
Redistributing Our Systems. Erlang's Enduring Lessons for Local-First
Q: How does treating a user device as a long-running Erlang process shift data ownership responsibilities?
It shifts ownership to the device by keeping state local and isolated per process, enabling secure, on-device access control and reducing reliance on a central authority, while still allowing synchronization when needed.
The Ash Framework: Rationale, Design, and Adoption — with Zach Daniel
Q: What makes Ash AI safe and practical to integrate?
Ash AI exposes only the actions you allow for the current user, scopes capabilities to the user, and enforces policies across the AI interface to prevent data leakage or misuse, making AI integration safe by default.
The Ash Framework: Rationale, Design, and Adoption — with Zach Daniel
Q: How does Ash change the way you think about building applications on BEAM?
Ash separates the application runtime from the business logic, uses a resource-driven data model, and provides policies, actions, and calculations that apply across the data layer, enabling faster iteration and safer, reusable patterns.
The Ash Framework: Rationale, Design, and Adoption — with Zach Daniel
Q: What problem were you trying to solve when you created Ash?
I wanted to stop repeating the same boilerplate work and focus on the 100 impactful lines of business logic, building an application layer without getting bogged down in repetitive plumbing.

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Frequently Asked Questions About BEAM There, Done That

What is BEAM There, Done That about and what kind of topics does it cover?

The episodes consistently center on practical engineering with BEAM ecosystems, focusing on real-world challenges and scalable architectures. Topics include building autonomous AI agents on BEAM-enabled stacks, framework design and adoption in Elixir, machine learning and NX integration, and concurrency patterns across BEAM languages. Guests tend to be industry practitioners—CTOs, core framework authors, and engineers—sharing hands-on experiences, production caveats, and architectural trade-offs. The show differentiates itself with no hype, prioritizing concrete lessons, fault tolerance, supervision strategies, and deployment realities. This makes it valuable for developers, tech leads, and engineering managers seeking actionable insights i... more

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These podcasts share a similar audience with BEAM There, Done That:

1. Thinking Elixir Podcast
2. The Changelog: Software Development, Open Source
3. The Pragmatic Engineer
4. 2.5 Admins
5. Startups For the Rest of Us

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BEAM There, Done That launched 2 months ago and published 8 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on BEAM There, Done That?

Recent guests on BEAM There, Done That include:

1. Sam Aaron
2. Robert Virding
3. Kimutai Kiprotich
4. Zach Daniel
5. Jose Valim
6. Paulo Valente

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