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chore: add comet-panel as git submodule#72

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sudashannon wants to merge 2 commits into
rpamis:masterfrom
sudashannon:feat/add-comet-panel-submodule
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chore: add comet-panel as git submodule#72
sudashannon wants to merge 2 commits into
rpamis:masterfrom
sudashannon:feat/add-comet-panel-submodule

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@sudashannon
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Adds Comet Panel GUI dashboard as a git submodule.

https://github.com/sudashannon/comet-panel

Adds the Comet Panel GUI tool as a git submodule for browsing
comet changes and AI-powered document analysis.

Comet Panel features:
- Three-column dashboard (changes / details / chat agent)
- AI chat agent via MiniMax API with SSE streaming
- @ mention file autocomplete for context selection
- Markdown + Mermaid rendering
- Multi-provider support with configurable settings

Repository: https://github.com/sudashannon/comet-panel
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Code Review

This pull request adds the comet-panel repository as a git submodule. There are no review comments, and I have no additional feedback to provide.

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@benym
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benym commented Jun 5, 2026

Thanks for the proposal, I think it's a great idea.
However, I pulled your project and found what appears to be a bug—see the screenshot.
image
I do have a few other concerns:

1: The project is written in Go, but not all Comet users have a Go environment set up, which makes running the project inconvenient for them. Additionally, the chat panel on the right seems unnecessary, given how capable current coding agents already are. Ideally, I think it should be written in TypeScript and distributed via npm. In practice, the local client could launch automatically when a user starts a specific project—similar to how Claude-Mem operates.

2: Cross-platform consistency; the project appears to have been developed solely on macOS without cross-platform verification. If this platform is to be adopted, I suggest integrating Windows, macOS, and Linux support into the CI pipeline, just as Comet does.

Overall, I think the platform concept is solid, though the functionality is currently quite basic and lacks production-grade validation. Implementing the core features with AI isn't particularly difficult. We can discuss this further once these issues are addressed.

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2 participants