Chase Granberry

#bigquery #streaminganalytics #logsaremetrics #structuredlogging @elixirlang @elixirphoenix #myelixirstatus

Looking for the most reliable way to run agents in some kind of continuous/ralph loop mode, preferably overnight (@jamonholmgren). I'm use both Codex and Claude and am a sucker for OpenCode. What do I use?

Constrain them to do the right thing … like people??

We just shipped Distributed Python on top of the Erlang distribution, with full Elixir and Livebook integration: dashbit.co/blog/distribut… And much more: intellisense, zero-copy Apache Arrow, and more. Read the article for all the details. A huge thank you to NLnet Foundation for sponsoring our work. They are always looking for new ideas and you have until April 1st to join the next batch: nlnet.nl

@mrkurt Because you had to

We shipped MCP for Sprites, sadly. fly.io/blog/unfortuna…

Hostile takeover?

I know people running one core pods

Need this for a connection pooler

@can @felt Felt is … alive?

fun fact about @felt is it’s all elixir

hmmmmmm

Purple pilled

We ported just-bash to Elixir to give our Elixir agents a virtual filesystem and bash interpreter. The first commit was ~11k lines, generated entirely by Opus 4.5 in a single session. github.com/elixir-ai-tool…

To the degree you’re a person that can do it all: product, design, engineering, and business, AI coding makes you an extremely leveraged person in the world. You can build many ideas to find a hit.

@valyala @_m27e Give me bottomless object storage and I will switch.

@_m27e See a successful example of using VictoriaLogs as a web analytics database - ayedo.de/posts/dsgvo-ko…

Clickhouse is insane. Wrote this terrible query to sketch an idea and it completed in 2ms across 26M events. This query (probably) would've crashed pg.

@mipsytipsy Bro has zero followers you are arguing with Claude.

How can this be sold as "cost savings" when your cost multiplier increments for every signal type, every time you bridge the data, and every unit of cardinality? In what universe is ANY of this cheaper? This may be a fucking triumph of marketing, but it is not engineering.

Hypeman is so cool. Launch VMs from docker image registries just like docker does. Lifecycle plus standby / resume, fork, etc. Pick from hypervisors like firecracker, qemu, cloud hypervisor, or Mac virtualization framework. We even do vGPU. If you’re doing sandboxes, try it out!

Seems to have worked for sqlite

This is counterintuitive for some, which is why there’s a paradox named after it. But if you lower the cost of something that was previously supply constrained, demand for that thing goes up. Software engineering is just one of the easiest examples to contemplate. The process goes like this: every small business, every IT team, every large enterprise sees that engineering can now drive vastly more output. They then start to consider all the new things they can build or automate. They even test building prototypes themselves. They only get so far with that approach because they realize there are still 50 other tasks that go into building software and maintaining it. So they start to hire more engineers to do that work. All of this for work they never would have considered automating or having software for if AI didn’t exist. So yes, automating tasks, in plenty of fields, will lead to demand for experts, not less.

http3!!!

Holy shit, running a bot on the BEAM, talking to it over WhatsApp, and asking it to modify its own code **while it's running** and hot-code-loading the modifications to enlighten itself, is quite entertaining

@anselm_io what do you think workers and DOs are 😁 DOs are referred to as actors in the underlying workerd source and are effectively gen servers

80% done on an explorer for the tiered memory system in Solum, my Elixir-based @openclaw killer™️ The context is just a frame. I've been running this system for a couple of days. It is no longer stuck in the user->agent message loop, and through context engineering, it treats context as a frame, with inference producing actions. An action can be: message another agent or the human, or use tools. And what triggers inference is sensory data: subscriptions to state changes outside of itself, or email/chat notifications. It no longer feels like before. It's what I thought OpenClaw would be, truly autonomous. But autonomy needs a primer. It needs a context that removes this pure assistant, user-to-agent comms. Also, async tool-calling is the way, once you see that you can't go back. I'm wondering what sort of beast people at @AnthropicAI or @OpenAI are running, because what I've seen my setup do has really impressed me. Follow this space, will open-source in a few days at this rate.