HN user
I built a multi-agent alternative with Stream Deck and cmux/orca and it works pretty well -- particularly when you pair it with CodexBar and can easily see your token spend across multiple subscriptions.
It is all open source https://github.com/mrshu/muxboard -- feedback would be greatly appreciated!
By far the most impactful product of the Apretus project are the people. To quote a memorable line from Dominique Paul (https://www.thisiscrispin.com/):
What most people miss IMO is that this is not a team who is doing this for the fourth time like virtually any other LLM provider and who could learn from its own past experiences. I bet if the team would do another model training they could get way better results at one fourth of the costs.
You are right, I am not sure why I did not realize Python is the whole point of the image. This is indeed much faster and easier.
An old habit that unfortunately makes one indistinguishable from LLMs these days...
It's pretty rough to learn I sound like Claude. Will need to do something about it then.
(For what it's worth I did write the message above manually but I understand why no one would believe that now. At least I did not call netcat "load-bearing" [https://mareksuppa.com/til/load-bearing/] or something...)
Yes, a very minimal image indeed. Had it been a custom image, curl would be one of the first things I would make sure it contains :)
No, it can not. Bash lets you open TCP sockets.
Very fair pushback -- I did get carried away and will update the article to be more precise. Thanks for raising it!
For less insane, non-bash shells there is always nc which is usually probably the wiser choice.
For completeness, `nc` or any netcat equvialent I could think of was not available in the image I was trying this with. It would certainly be a better option though.
Totally!
I was really just trying to see if intra-container connectivity works, and this ended up being a very quick way of doing so. (The alternative being building and deploying a new image, which would likely take significantly longer.)
That is indeed a solid pushback! :)
For what its worth, this container used `python:3.12.2-slim-bookworm` and I really would not expect that sort of an image to bundle `curl` -- even if it is intended for production.
I ran into this while checking connectivity between containers on an internal Docker network where the image had neither curl nor wget.
The main surprise was that Bash has /dev/tcp which lets you do the equivalent of an HTTP request with a bit of shell magic, for instance:
exec 3<>/dev/tcp/service/8642
printf 'GET /health HTTP/1.1\r\nHost: service\r\nConnection: close\r\n\r\n' >&3
cat <&3
Pretty cool!
I have also had positive experience with doing this multiple times via multiple model families, and then to recursively have the fixes reviewed too.
It's called review-anvil and does find significant amount of problems that might pop up:
Their uptime for just Git operations has been hit pretty hard in the past 90 days:
Well, some of the original commits are indeed quite telling!
https://github.com/amantus-ai/vibetunnel/commits/main/?after...
Author here. I wrote this after setting up Claude Code with MiniMax and Z.AI and realizing their docs all tell you to paste API keys into settings.json in plaintext -- which is risky given that Claude Code has been known to read .env files and leak contents into session transcripts. I already use KeePassXC, so I wrote a shell wrapper that fetches the key at invocation time and passes it as an inline env var. Nothing is written to disk. The same pattern works with any password manager CLI -- op read for 1Password, bw get password for Bitwarden, pass show for pass. Happy to answer questions.
It really seems the primary benefit of MCP servers was to force companies to establish some externally exposed APIs if/when they did not have them.
To be fair, it's not like he did not read a single line of code that ended up being generated.
This (multiple major outages a day) has unfortunately been happening for quite a while now -- on the 2nd of February, 2026 for instance.
The GitHub Status Page does not visualize these very well but you can see them parsed out and aggregated here:
Here it is. It looks like they are down to a single 9 at this point across all services:
GitHub no longer publishes aggregate numbers so here they are parsed out. It looks like they are down to a single 9 at this point across all services:
Some projects (like the pi coding agent) use a gated approach for first-time contributors:
https://github.com/badlogic/pi-mono/blob/main/CONTRIBUTING.m...
Here is what it looks like in practice:
Peter Steinberger, the author of Clawdbot / Moltbot
It was not built by Claude -- Peter no longer uses it for coding -- he builds exclusively with Codex now: https://steipete.me/posts/2025/shipping-at-inference-speed
Here is an example: https://www.dailymail.co.uk/news/article-15476463/Trump-tell...
Do you normally run Opus by default? It seems the Max subscription should let you run Sonnet in an uninterrupted way, so it was surprising to read.
What are some standard benchmarks you look at in this space?
Do you think a more messier math benchmark (in terms of how it is defined) might be more difficult for these models to get?
The author is an AI researcher at Anthropic: https://www.julian.ac/about/
He likely has his substantial experience using AI in real life (particularly when it comes to coding).
This is a SendGrid alternative (transactional emails, potentially with a nice API).
OpenAI does not provide many details about their models these days but they do mention that the "Advanced voice" within ChatGPT operates on audio input directly:
Advanced voice uses natively multimodal models, such as GPT-4o, which means that it directly “hears” and generates audio, providing for more natural, real-time conversations that pick up on non-verbal cues, such as the speed you’re talking, and can respond with emotion.
From https://help.openai.com/en/articles/8400625-voice-mode-faq
ra-aid works pretty well with Ollama (haven't tried it with Devstral yet though)