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Show HN: Vibe Kanban – Kanban board to manage your AI coding agents

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Re: Show HN: Vibe Kanban – Kanban board to manage your AI coding agents

#131
post #3

How does this compare with Backlog.md? [1] [1]: https://news.ycombinator.com/item?id=44483530

Hi. I’m the author of backlog.md . Your team did a great job on Vibe Kanban. It looks great and has a cool name. I like to see more tools trying to solve the human-ai agent interaction for building projects.

I wish you all the best with this tool!

Re: Show HN: Vibe Kanban – Kanban board to manage your AI coding agents

#132

Earlier quoted context omitted.

Analytics cannot be anonymized.

Why?

Any complex dataset has enough revealing information as to make deanonimization possible. To truly muddle the waters enough to make such attempts impossible would require injecting enough noise as to make the analytics useless to learn from.

This is a fundamental property derived from information theory, but also confirmed time after time in practice: https://www.theguardian.com/technology/2019/jul/23/anonymise...

Data anonymization is a myth sold to politicians to whitewash data collection.

Re: Show HN: Vibe Kanban – Kanban board to manage your AI coding agents

#133

Earlier quoted context omitted.

Why?

Any complex dataset has enough revealing information as to make deanonimization possible. To truly muddle the waters enough to make such attempts impossible would require injecting enough noise as to make the analytics useless to learn from. This is a fundamental property derived from information theory, but also confirmed time after time in practice: https://www.theguardian.com/technology/2019/jul/23/anonymise... Da…

Sure, but that is broader than product analytics and applies to all data collection. The word I should have used is "pseudonymize". The goal for capturing product analytics is not to deanonimize but understand usage trends/bottlenecks.

Re: Show HN: Vibe Kanban – Kanban board to manage your AI coding agents

#134

> AI coding agents are increasingly writing the world's code and human engineers now spend the majority of their time planning, reviewing, and orchestrating tasks. Is this really the case?

No, if we can review 10 PRs a day and AI writes one of them, we now have to review 11 PRs

Re: Show HN: Vibe Kanban – Kanban board to manage your AI coding agents

#135
Cool project! Been messing with AI agents for code stuff, and this Kanban setup for parallel tasks looks super handy—gonna try it on my next hack. Quick Q: handling token tracking per user/org? Got tons of experience from building UsagePilot (open-core lib for AI metrics). Happy to chat if you need a second pair of hands on that front!

Re: Show HN: Vibe Kanban – Kanban board to manage your AI coding agents

#136

Earlier quoted context omitted.

Any complex dataset has enough revealing information as to make deanonimization possible. To truly muddle the waters enough to make such attempts impossible would require injecting enough noise as to make the analytics useless to learn from. This is a fundamental property derived from information theory, but also confirmed time after time in practice: https://www.theguardian.com/technology/2019/jul/23/anonymise... Da…

Sure, but that is broader than product analytics and applies to all data collection. The word I should have used is "pseudonymize". The goal for capturing product analytics is not to deanonimize but understand usage trends/bottlenecks.

Pseudonymous is not what is wanted here though. For your spying on my usage to be acceptable, it would have to be truly anonymous. Pseudonymous means that instead of you putting "HN user adastra22" in your database for everything I do, you instead use "fffa366bc5d3." So any human being looking at the database record won't immediately see that it is me.

But in any sufficiently complex real-world database, it is a trivial step to map these pseudonymous tags to actual users, and thereby undo the obfuscation. It provides no actual privacy protection.

And the privacy IS the issue here.

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