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@gd that's almost a tautology. It is correct under the given set of axioms.
Then, ex falso quod libet somewhere in there and you have a prod full of bugs.

@p that's "beginners tips"
Real pro tip: test your backups (can be combined with wiping the OS!)

gonna start calling SQL queries "database shaders"

@chris__martin Nah. It's just lousy UX with cryptic, error-prone rituals. Mercurial and Bazaar had it so much better.

@meowski @ahmetasabanci Stuff like this happened since the early days.

Especially illuminating that a bot "trained" on Slack logs learns to tell "tomorrow", "ok" and so on, but is very reluctant to actually put an effort.

@gerrymcgovern Degrowth, maybe, but not before settling interplanetary space.
Too early and you're subscribing billions of humans and all the species to a "death from entirely natural causes".

First time doing haskell immediate impressions 

@edgarogh Yeah, operators are pretty unsearchable.

However there's an index for many kinds of stuff you may be interested in.

Search operators: hoogle.haskell.org/?hoogle=%28

Search by name: hoogle.haskell.org/?hoogle=Sem

Search by type (!): hoogle.haskell.org/?hoogle=May

(Bonus) Find packages: hackage.haskell.org/packages/s

@johnny > drop the transaction if we've had no luck for x seconds

That would be [registerDelay](hackage.haskell.org/package/ba). It's in IO, but it gives you a TVar, that will flip to True when the time comes. You can readTVar it to decide retry or bail.

Also, you can wrap pretty much anything in `timeout` (in IO proper).

@vjon @kravietz GNUnet is a family of protocols stacked on top of each other. An application then is another service composed from those blocks. Once can re-use the existing services or build their own. The more foundational services like transports, DHT, GNS, and CADET enjoy more participation though.

@jesper Better start merging...

Why 5 more years for Agda? Aren't you in control of your toolchain?

@underlap @6d03 @abuseofnotation I'm afraid Mappable and the likes are less searchable *adding* learning overhead and frustration

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