This action will delete this post on this instance and on all federated instances, and it cannot be undone. Are you certain you want to delete this post?
Todd Sundsted
toddsundsted@epiktistes.comBetter dead than bored.
toddsundsted@epiktistes.comBetter dead than bored.
| Introduction | https://epiktistes.com/introduction |
|---|---|
| GitHub | https://github.com/toddsundsted/ktistec |
| Pronouns | he/him |
| 馃寧 | Sector 001 |
Todd Sundsted posted Jan 3, 2021
ok, so it's going to be atorash, a half-orc ranger, modeled after a witcher. neutral, built for melee and trained to hunt and kill monstrosities.
Todd Sundsted posted Jan 3, 2021
as i prepare to start a new campaign for 2021 i contemplate what aragorn would be like as a half-orc ranger...
Todd Sundsted posted Jan 2, 2021
Todd Sundsted posted Jan 2, 2021
Todd Sundsted posted Jan 1, 2021
Todd Sundsted posted Jan 1, 2021
it鈥檚 not a prime but happy new year 2021!
Todd Sundsted posted Dec 31, 2020
Todd Sundsted posted Dec 30, 2020
went back in time and liked a bunch of old posts.
Todd Sundsted posted Dec 30, 2020
commits 2ce62db...86822f5 implement support for typical social signals, like share/boost and like.
performing and visualizing simple interactions are table stakes for socializing in the fediverse, so it's an important milestone. i got one like. i want more! 馃槈
if you're a fan of the crystal programming language check out ktistec. if you're brave enough to try it, i'd love feedback!
Todd Sundsted posted Dec 29, 2020
lessons
- asterite is correct. named tuples in crystal are seemingly attractive (compile-time type checking of keys and values) but quickly become a trainwreck as the compiler specializes every method receiving them (passing/receiving **options is definitely a code smell). every possible permutation of keys and values is a new type and results in a聽 specialized copy of a method, increasing build time and executable size.
- crystal + sqlite continue to perform well. i recently released code that computes and displays social signals like boosts/shares and likes as part of the content in the timeline. even though counts are aggregated on the fly, rendering is still brisk鈥攁bout 780msec to fetch and render 1000 posts from the main timeline.