[sean_pedersen]

There is a Rust port: https://github.com/Dicklesworthstone/pi_agent_rust

[saberience]

If you look at that code it’s possibly the worst rust code I’ve seen in my life. There are several files with 5000 to 10000 lines of code in a single file.

It looks 100% vibe coded by someone who’s a complete neophyte.

[mr_mitm]

This looked interesting because I prefer rust over npm.

The first issue I had was to figure out the schema of the models.json, as someone who hadn't used the original pi before. Then I noticed the documented `/skill:` command doesn't exist. That's also hard to see because the slash menu is rendered off screen if the prompt is at the bottom of the terminal. And when I see it, the selected menu items always jumps back to the first line, but looks like he fixed that yesterday.

The tool output appears to mangle the transcript, and I can't even see the exact command it ran, only the output of the command. The README is overwhelmingly long and I don't understand what's important for me as a first time user and what isn't. Benchmarks and code internals aren't too terribly relevant to me at this point.

I looked at the original pi next and realized the config schema is subtly different (snake_case instead of camelCase). Since it was advertised as a port, I expected it to be a drop-in replacement, which is clearly not the case.

All in all it doesn't inspire confidence. Unfortunate.

Edit: The original pi also says that there is a `/skill` command, but then it is missing in the following table: https://github.com/badlogic/pi-mono/tree/main/packages/codin...

The `/skill` command also doesn't seem registered when I use pi. What is going on? How are people using this?

Edit2: Ah, they have to be placed in `~/.pi/agent/skills`, not `~/.pi/skills`, even though according to the docs, both should work: https://github.com/badlogic/pi-mono/tree/main/packages/codin...

This is exhausting.

[jauntywundrkind]

Fwiw @dicklesworthstone / jeff Emanuel is definitely my favorite dragon rider right now, doing the most with AI, to the most effect.

Their agent mail was great & very early in agent orchestration. Code agent search is amazing & will tell you what's happening in every harness. Their Franktui is a ridiculously good rust tui. They have project after project after project after project and they are all so good.

Didn't know they had a rust Pi. Nice.

[saberience]

You should look at the code in that project. It’s terrible, I mean, really, really terrible.

It’s clear it was 100% written by Claude using sub-agents which explains the many classes with 5000 lines of rust in a single file.

It’s a huge buggy mess which doesn’t run on my Mac.

If you’re a rust engineer and want a good laugh, go take a look at the agent.rs, auth.rs, or any of the core components.

[orangecoffee]

This matters less and less in the new world. that fact that a fully compatible 10x faster clone came up, and is continuously working and adapting/improving, tells you that this is hugely valuable. It has users and it's thriving.

Caring about taste in coding is past now. It's sad :( but also something to accept.

[mr_mitm]

Unmaintainable messes of code are also hard to maintain for AI agents. This isn't solely about taste.

[orangecoffee]

This projects huge commit list proves this wrong :(

[mr_mitm]

The project also doesn't work. See my other comment.

Looks like a lot of nonsensical commits.