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This is basically similar to what bb (https://getbb.app/) is also doing. It's interesting to see many different people exploring things in this space...
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just read the paper, and there aee definitely some interesting ideas in it.

a plugin's registrations returning individual cleanup handlers is nice. in pi, you clean up all registrations in one go in the session-shutdown handler.

i also like the use of generator to to clean up partial registrations nicely.

the cross-plugin dependency injection and resolution i'm not so sure about. it comes with a lot of footguns and limitations as pointed out in the paper.

works ok within a single compilation unit, i.e. a plugin with many modules. does not help with typing of cross-plugin dependencies.

most plugins do not have dependencies on each other, so this more complex system doesn't win you much, e.g. with load order and conflicting registrations (i.e. two plugins registering the same tool).

being able to reload a single plugin on change while letting the others not in its dependents list jug along is neat. but that also only works if plugins actually declare dependencies (see last paragraph), and also has a lot of limitations. and the simple case, a plugin with no dependencies or dependents, which i'd say is the 90% case, does 't need that complexity either.

definitely cool stuff tho! remains to be seen how well it works in a real plugin ecosystem.

> they push the boundaries further, to the UI components

can you elaborate on this? pi extensions support contributions to the UI. in pi v1, they are limited to in-process UI. v2 splits server and client, and with that UI.

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If you run the `dsh`, you can go to the Settings -> Plugins, and you can find that they just write all UI components as plugins(maybe not all, I don't check). Also, you may ask the harness to write a UI plugin for you, I just read some neat examples somewhere.
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> OSGi

Yep sounds just like the Eclipse IDE plugin system indeed. Nice example of things being rediscovered every generation I suppose.

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The paper mentions agent harness self improvement as one of the use cases. I don't know what's the advantage vs. iterating over a monolithic harness.
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This has been a pretty big topic of discussion recently with Prime Intellect's new harness making leaps on ARC 3's public dataset. This is probably a bit overstated considering that a big focus of the benchmark is to test the model without custom harnesses, but you can imagine how for some tasks, especially long running ones, this kind of on-the-fly context management + tool generation could be quite useful. It gets better over time, it can build shorthand and tools for token efficiency, like a loose approximation of continual learning.
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I have some self-improving harness tooling, I run it within Claude Code because of the cost advantage but that does mean restarting Claude Code periodically so it can pick up all changes. It sounds like the DeepSeek system won't need that, which is useful.
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It's modular by default so you can experiment freely, in-session. If you don't like some plugin you built, just disable it and move on. No need for tracking changes, reverting and so on if you keep your plugins focused.
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> it adds hot-reload and dynamic enable/dispose capabilities to a plugin system, like the one in Pi agents, though they push the boundaries further, to the UI components and so on.

That actually sounds amazing.

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For all the high-powered theory it looked just like every other harness! I was expecting more.

If anybody has tried it, does it let you preview components in any frontend framework with perfect fidelity? That would be a big win.

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Uh, it’s big idea is a destructor? This is considered significant in 2026 and the era of vibe coding?
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Don’t sell it short, it’s big idea is also to support dependency injection style explicit linkage between dynamically added components.
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