i had a feeling it might need to be that way, so i asked LoL~ Still, i think it's gret that it works without tailscale or any other dependencies. thaks for sharing such a greate project
i haven't tried it yet, but i have a question. Does it still work even when my macbook is in sleep mode?
Interesting approach. Making agentic AI accessible through visual UI instead of text commands is a real gap right now. The dual interaction model — where both the user and the LLM can trigger the same functions — is a…
The clarification protocol is a smart approach. In my experience running multiple Claude Code agents on the same codebase, the biggest gap isn't prompting — it's visibility. You don't know what each agent decided to do…
The attack chain you described highlights a gap that most teams overlook: AI-generated code passes functional tests but skips the "why this version?" review that experienced developers do instinctively. I think the real…
i had a feeling it might need to be that way, so i asked LoL~ Still, i think it's gret that it works without tailscale or any other dependencies. thaks for sharing such a greate project
i haven't tried it yet, but i have a question. Does it still work even when my macbook is in sleep mode?
Interesting approach. Making agentic AI accessible through visual UI instead of text commands is a real gap right now. The dual interaction model — where both the user and the LLM can trigger the same functions — is a…
The clarification protocol is a smart approach. In my experience running multiple Claude Code agents on the same codebase, the biggest gap isn't prompting — it's visibility. You don't know what each agent decided to do…
The attack chain you described highlights a gap that most teams overlook: AI-generated code passes functional tests but skips the "why this version?" review that experienced developers do instinctively. I think the real…