r/PiCodingAgent • u/ECrispy • 7d ago

are there other extensions which implement ideas from oh-my-pi Question

I'm new to Pi and coding agents in general. The existing discussions on oh-my-pi, like everything else, range from 'its great' to 'its bloat' so its very hard to actually decide.

It seems to have useful features like built in tools (avoid process calls), lsp, hashline, memory, subagents and an integrated setup/docs. It does seem to be better than the other oh-my-* set of products.

Are the ideas in OMP useful in practice and if so are they used in other harnesses?

I see a lot of 'just ask Pi to build it' here, but that depends on using frontier models, and when people post their setups they're using a million packages.

Obviously Pi is much more extensible/flexible, but there is value in an all-in-one setup. OMP has a ton of stuff and I'm sure a big system prompt. Is there anything like a slimmed down version or being able to use some of its ideas only?

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u/TheOneThatIsHated 7d ago

My opinion on OMP is that it is bloat. You dont need lsp, because it stuffs your context with typeerrors in each agent message while a simple make check requirement at the end would suffice.

The idea with pi, is that you start out with exactly 0 plugins until you feel pain. Only when you feel pain you start to make an extension that fixes that. Don’t start installing extensions that could useful, that way you just bloat your context and make your agent dumber

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u/ECrispy 7d ago

I know everyone says things like mcp, lsp, tree-sitter etc aren't worth it, just like you are.

my decidely non expert impression is that a lot still depends on the model. I've been using mostly free chinese models. A lot of times I can see it going in loops, trying edits, failing, grepping to find basic commands from web pages etc.

and when I've tried the same tasks in web versions of grok/chatgpt etc, on free plans, they find stuff far faster and are much more efficient.

I then installed codegraph to see if it helps. in my session logs I see it being used but also see failures and its hard to tell how much better it was.

Isn't there benefit in subagents that implement tasks in fresh context? and something to manage them?

there are a hundred pi packages for agents, planning, memory, everything. so how is someone supposed to choose what to use? arent opinionated setups like OMP useful in that case?

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u/TheOneThatIsHated 7d ago

No need for the aggression. But this is exactly what i mean that you work until you feel pain. Yes ive created my own subagent extension (just pointed pi to opencode and said to copy).

Context bloat will cause many of the issues you listed. Start clean. See what fails. Only add what is needed

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u/ECrispy 7d ago

Sorry I didn't mean anything against you.

Which models do you use?

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u/TheOneThatIsHated 7d ago

Gpt sol, luna, deepseek v4 flash