Opinionated and Easy Pi.dev Configuration(lazypi.org) |
Opinionated and Easy Pi.dev Configuration(lazypi.org) |
I guess it's the same kinda friction with vanilla vim/neovim vs vim 'distributions' that provide a bunch of stuff out of the box.
From my limited time using pure Pi, I found quite a few of the plugins lacking and had no desire to upgrade/fix and maintain them myself. I know others feel differently though.
I like the idea of keep Pi minimal but having “official”, high quality optional plugins to make it more usable.
When do you get it to make you the thing versus choosing to vendor something out like back in the day?
People really need to try out “less is more”. The new models are quite smart, so suffocating their context with dozens of MCPs and skills isn’t necessary like it used to be. A cli tool with good built in help and good errors is amazingly easy for the model to figure out.
If Pi is too minimal for you and you don’t want to dig into it, OpenCode is pretty good out of the box. I use it for general work I haven’t setup Pi for. The only thing I add to OpenCode is some commands that are shortcuts to save me typing frequent prompts, and a subagent with a fixed model for implementing changes.
I would like to migrate away from Claude Code and use Pi as my "peimary" harness. I really like in particular how it manages conversation trees and branches.
But I think I didn't do a good job in customizing it for my work. While nothing dramatic, I think the LLM I was using did a better job on Claude Code than on Pi a couple of time when I tried giving it the same work.
I was not sure how to improve on it though.
https://github.com/gitsense/pi-brains
which is designed around the Pi philosophy of less is better by focusing on ondemand context/guidance. I won't bloat the context unless the LLM needs to do something I know it will need better guidance with. I have a demo repo for this at https://github.com/gitsense/gsc-rules-demos
One of the examples is, if I know the agent is reading a specific file, I will inject additional context. So if the agent never needs to do something in a certain file or directory, I don't need to pollute the context with "what it may need to know".
Probably not.
> or minimalism of vim?
I'd have to say at least a bit? Which is totally fine if it works for you, but there's gotta be some amount of extra features added after which "minimal" stops being a good description.
Edit: Although, we should also acknowledge that minimalism is a sliding scale. Compared to plain vi, vim is bloated. Compared to a full blown traditional IDE, lazyvim probably is minimal.
I have little to none and am successful building full stack Go apps Claude Code, Codex, and Shelley which covers the spectrum of crazy black box to simple `bash` clanker.
It makes me think the models are continually improving in knowing what to do on their own.
I do put some major work into the classic "Developer Experience" (DX) of my code base. Standard Go tooling, idiomatic Go, well designed initial test harnesses, GitHub actions that enforce some linting.
I think that works better than any markdown instructions ever will.
Haven't bothered doing any extra customisation in Claude Code or Codex as I don't really trust those things to apply consistently. And if you can run your CI steps locally before you push you don't need to tell an agent to remember it.
That said I've been playing with pi today and given how stripped down it is I've used it as a sandbox for customisation. Still, I haven't gone quite as far as laying down project level instructions. More that Claude Code in particular is quite heavy, and so it its prompt, and adding stuff like rich integration with GitHub and SourceHut (CI status, active branch or PR) seems comparatively trivial in pi.
Only thing left to do is switch out ghostty for the time being as it's misbehaving. Laptop hot to the touch even after idling overnight.
Caveat: I’m a data scientist/researcher, not a professional SWE, so take my experiences with a grain of salt. I’m just a python monkey most of the time
But I like pi precisely because it is so minimal. I want understand and work around the simplest possible agentic coding setup, find the sharp edges, maybe even improve my prompting ability. And doing all three with a locally hosted LLM.
At some point, if I don't understand the foundations, am I just punting on actually thinking about what I'm doing?
Of course, making individual choices about how to do agentic coding are precisely just making individual choices. People should do what makes them happy and productive.
That said, sometimes it is really easy to leverage existing extensions. You run the risk of supply chain attack though. I installed one extension that was useful, modified it to my needs and pinned it.
How many people genuinely know what they're doing when the value prop of Pi is basically to vibe code it to your taste? The entire point of vibe coding being that you don't actually have to know what you're doing?
- Review to check that the plugin is reasonable quality/isn't malicious.
- hosting (e.g. the plugin is retrieved from a repo. you control) or "known good" checksums so pi will only download the plugin with a version that you've reviewed.
From a security/supply chain aspect, ironically what you're looking to do is deliberately add some friction to the publishing process, which sounds bad, but can be quite effective at mitigating attacks. Most of the recent supply chain attacks get found by automated scanners in < 24 hours, so having a review process for new releases that takes a while will reduce the number that affect users.
I think having this is handy as it'll give security conscious users more confidence in using pi, without the anxiety of pulling a load of additional code from effectively random sources.
What, no kitchen sink?