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I’m working on a native swift implementation of FileKitty, the FOSS LLM prompt context preparation tool I’ve been building with pyqt.

https://github.com/banagale/FileKitty

My most recent release includes signed .dmg installer on top of brew, and a local build option.

Although it should compile to any platform, I want to take advantage of the new Foundation Model sdk Apple announced at WWDC.

I also recently released something called slackprep, a CLI tool and Python library that wraps slackdump, converting Slack export data into LLM-groomed Markdown transcripts.

That includes labeling inline images organizing them for upload as LLM context.

https://github.com/banagale/slackprep

I see these and other utilities coming together to assist in assembly of deep context for system level design.



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