[Python-ideas] Personal views/filters (summaries) for discussions

[Terry Jan Reedy]

On 4/28/2013 11:37 AM, anatoly techtonik wrote:
> I find it really hard to track proposals, ideas and various deviations
> in mailing lists, which is especially actual for lists such as
> python-ideas. I bet other people experience this problem too. The
> typical scenario:
>
> 1. You make a proposal
> 2. The discussion continues
> 3. Part of the discussion is hijacked
> 4. Another part brings the problem you haven't seen
> 5. You don't have time to investigate the problem
> 6. Discussion continues
> 7. Thread quickly gets out of scope of daily emails
> 8. Contact lost
>
> Several week later you remember about the proposal:
>
> 9. You open the original proposal to notice a small novel
> 10. You start to reread
> 11. Got confused
> 13. Recall the details
> 14, Find a way out from irrelevant deviation
> 15. Encounter the problem
> 16. Spend what is left to investigate the problem
> 17. Run out of time
>
> The major problem I have is steps 9-15. Sometimes these take the most of
> the time. What would help to make all the collaboration here more
> productive are colored view/filters (summaries) for discussions. It
> would work like so:
>
> 00. The discussion is laid out as a single page

This is what the PEP process is about. Anyone can summarize a idea as a 
proto-pep either initially or after preliminary discussion. Objections 
and unresolved issues are part of a pep. Revisions and reposting are 
part of the process.


> 01. You define some aspect of discussion (name the filter)
> 02. You mark text related to the aspect
> 03. You save the markings.
> 04. You insert summaries and TODOs
>
> 05. Now you select the aspect
> 06. Irrelevant parts are grayed out
> 07. Additionally you can collapse grayed sections
>
> An ability to edit and enhance these filters will allow to devote a
> small bits of free time to analyze and summarize the discussion state
> instead of requiring a single big piece to reread the whole discussion.
>
> This way you can split the task of dealing with complexity over time,
> which I think is more than actual nowadays. IMO this process can be very
> beneficial for Python development.
> --
> anatoly t.
>
>
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