Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Boxed: bringing algebraic types to TypeScript
Search
Matthias Le Brun
March 27, 2024
Technology
0
36
Boxed: bringing algebraic types to TypeScript
Matthias Le Brun
March 27, 2024
Tweet
Share
More Decks by Matthias Le Brun
See All by Matthias Le Brun
leveraging (algebraic data) types to make your UI rock @ jsheroes
bloodyowl
0
240
Leveraging (algebraic data) types to make your UI rock solid
bloodyowl
0
340
La drôle d'histoire de JavaScript
bloodyowl
0
310
Healthy Code Collaboration
bloodyowl
0
210
Simplify your UI management with (algebraic data) types
bloodyowl
0
760
Simplify your UI management with (algebraic data) types
bloodyowl
1
480
Migrating a large Reason+React codebase to hooks
bloodyowl
0
500
Third Party Hell (BestOfWeb)
bloodyowl
0
500
Best practices
bloodyowl
0
380
Other Decks in Technology
See All in Technology
.NET のUnified AI Building Blocks 入門...!
okazuki
0
140
生成AI時代のセキュリティはAWSでどう進化する? ~AWSセキュリティの3つのポイントからアップデートを予測する~ / How will Security Evolve on AWS in the Era of Generative AI and Predicting Updates from 3 Points of AWS Security
yuj1osm
0
100
生成AIを活用したIT運用高度化への挑戦
iotcomjpadmin
0
280
Bytebaseで実現する データベース管理の効率化
shogo452
1
270
Entra ID の多要素認証(Japan Microsoft 365 コミュニティ カンファレンス 2024 )
murachiakira
0
1.6k
歴史あるRuby on Railsでデッドコードを見つけ、 消す方法@yabaibuki.dev #3
ayumu838
0
1.7k
専門領域に特化したチームの挑戦
leveragestech
0
230
SLMをエッジAIとして検証してみて分かったこと
iotcomjpadmin
0
280
大規模トラフィックを支える ゲームバックエンドの課題と構成の変遷 ~安定したゲーム体験を実現するために~
colopl
0
720
Oracle Cloud Infrastructureデータベース・クラウド:各バージョンのサポート期間
oracle4engineer
PRO
30
15k
asumikamというカンファレンスオーガナイザの凄さを語る / The Brilliance of Asumikam
tomzoh
1
170
共創するアーキテクチャ ~チーム全体で築く持続可能な開発エコシステム~ / Co-Creating Architecture - A Sustainable Development Ecosystem Built by the Entire Team
bitkey
PRO
1
3.8k
Featured
See All Featured
The MySQL Ecosystem @ GitHub 2015
samlambert
250
12k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
10
760
What's new in Ruby 2.0
geeforr
343
31k
Put a Button on it: Removing Barriers to Going Fast.
kastner
59
3.6k
Adopting Sorbet at Scale
ufuk
73
9.1k
Building Flexible Design Systems
yeseniaperezcruz
327
38k
Building Adaptive Systems
keathley
38
2.3k
We Have a Design System, Now What?
morganepeng
50
7.2k
Intergalactic Javascript Robots from Outer Space
tanoku
269
27k
RailsConf 2023
tenderlove
29
910
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
47
2.1k
Designing for humans not robots
tammielis
250
25k
Transcript
Boxed
Matthias Le Brun @bloodyowl lead engineering manager chief shitpost office
the easiest way to provide banking features (accounts, payments, cards…) we're hiring! @
None
None
None
None
PREVIOUSLY ON Matthias tries to convert people to FP
Algebraic Data Types yay
type State = { data?: Data; error?: Error; };
type State = { data?: Data; error?: Error; }; type
Result<Data> = | Ok<Data> | Error<Error>; error data ERROR NULL NULL DATA NULL NULL ERROR DATA
{ data: null; error: null; };
type Result<Data> = | Ok<Data> | Error<Error>;
type State = { data?: Data; error?: Error; }; type
Result<Data> = | Ok<Data> | Error<Error>; state ERROR DATA
API response API response
API response API response
type State = { data?: Data; error?: Error; }; type
Result<Data> = | Ok<Data> | Error<Error>; 2 2 1 1 4 2 x = + =
Algebra it's just basic math™
+ x
quiz 157 x 8341 = ?
quiz 999 + 1 = ?
union types
monads functors
functor
monad
[1, 2, 3].map(x => x * 2) // [2, 4,
6] [1, 2, 3].flatMap(x => [x, x * 2]) // [1, 2, 2, 4, 3, 6]
map: <A, B>(T<A>, (a: A) => B) => T<B>: flatMap:
<A, B>(T<A>, (a: A) => T<B>) => T<B>;
None
null & undefined are bad
errors aren't always exceptions
promises were made the wrong way in JS
promises were made the wrong way in JS
promises were made the wrong way in JS
promises were made the wrong way in JS
THAT WAS Matthias tries to convert people to FP NOW
LET'S TALK ABOUT BOXED
✨ new job ✨ 2022
«we use TypeScript»
None
let's look at the ecosystem™
fp-ts
pipe( token, TaskEither.bindW("user", getTokenFromUser), TaskEither.bindW("project", getProject), TaskEither.chainW(getMembership), ) no autocomplete
on current value
pipe( token, TaskEither.bindW("user", getTokenFromUser), TaskEither.bindW("project", getProject), TaskEither.chainW(getMembership), x => {}
) need to inspect argument for type
pipe( token, TaskEither.bindW("user", getTokenFromUser), TaskEither.bindW("project", getProject), TaskEither.chainW(getMembership), x => {}
) need to inspect argument for type not a good DX
export declare const chainFirstTaskK: <A, B>(f: (a: A) = >
T.Task<B>) = > <E>(first: TaskEither<E, A>) = > TaskEither<E, A> ah just what I was looking for
we've looked at the ecosystem™
«let's try to make these types work with a good
DX in a structurally typed language» — me, allegedly drunk
structural typing
class Some<A> {} class None {} const value: Some<string> =
new None();
what we need → good DX → interop with ts-pattern
→ fast
what we needed → chaining API → autocomplete → less
imports
1st iteration: naive wanted the types to be opaque but
safe
1st iteration: naive discriminator in TS (aka poor man's nominal
types)
1st iteration: naive and we're storing the state in the
class instance
None
1st iteration: naive wanted the types to be opaque but
safe
1st iteration: naive wanted the types to be opaque but
safe
2nd iteration: anger
2nd iteration: anger
2nd iteration: anger
2nd iteration: anger
3rd iteration: make it fast
initial release
initial release
type Option<A> = Some<A> | None;
type Result<A, E> = Ok<A> | Error<E>;
type AsyncData<A> = | NotAsked | Loading | Done<A>;
Future<A>; better promises™ cancellable monadic leaves error state to Result
const parsed = input != null ? parseInput(input) : undefined;
const transformed = parsed != null ? transform(parsed) : undefined; const printed = transformed != null ? print(transformed) : undefined; const value = printed != null ? prettify(printed) : "fallback"; input .map(parseInput) .flatMap(transform) .map(print) .map(prettify) .getWithDefault("fallback");
user-testing
None
insights people need human-written docs → we doubled down on
examples & added search
insights don't try to replicate another language → give good
defaults for TS
Result< Data, ServerError > Result< A, ServerError | FinalizeError >
insights people are familiar with just a few data types
→ reduce confusion
insights people can be docs-first or type-first → experience needs
to be good for both
insights readability matters → chaining API was the way to
go
insights mapping on existing JS knowledge helps → if it
exists, name it the same way
insights pipe() syntax had impact on the runtime → expressiveness
is important
4th iteration implement the feedback rename some methods update some
defaults
5th iteration: what the actual fu
5th iteration: what the actual fu
recently fix the errors
recently improved perf by 2x to 10x
recently improved perf by 2x to 10x blazing fast certi
fi ed™ ⚡
Boxed → github.com/swan-io/boxed → swan-io.github.io/boxed
None
$ yarn add @swan-io/boxed
Matthias Le Brun @bloodyowl we're still hiring thank you! 🙏