Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
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
130
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
(why the hell did I) build a GraphQL client for the browser
bloodyowl
0
110
leveraging (algebraic data) types to make your UI rock @ jsheroes
bloodyowl
0
290
Leveraging (algebraic data) types to make your UI rock solid
bloodyowl
0
430
La drôle d'histoire de JavaScript
bloodyowl
0
370
Healthy Code Collaboration
bloodyowl
0
300
Simplify your UI management with (algebraic data) types
bloodyowl
0
820
Simplify your UI management with (algebraic data) types
bloodyowl
1
540
Migrating a large Reason+React codebase to hooks
bloodyowl
0
560
Third Party Hell (BestOfWeb)
bloodyowl
0
710
Other Decks in Technology
See All in Technology
クレジットカードの不正を防止する技術
yutadayo
16
7.4k
AIエージェントによるエンタープライズ向けスライド検索!
shibuiwilliam
1
400
これからアウトプットする人たちへ - アウトプットを支える技術 / that support output
soudai
PRO
18
5.5k
ソフトウェア開発現代史: 55%が変化に備えていない現実 ─ AI支援型開発時代のReboot Japan #agilejapan
takabow
6
3.9k
Black Hat USA 2025 Recap ~ クラウドセキュリティ編 ~
kyohmizu
0
540
AWS資格は取ったけどIAMロールを腹落ちできてなかったので、年内に整理してみた
hiro_eng_
0
220
X-Ray SDKとDaemonのサポート終了と移⾏ガイド
o11yfes2023
0
110
バクラクの AI-BPO を支える AI エージェント 〜とそれを支える Bet AI Guild〜
tomoaki25
2
760
やり方は一つだけじゃない、正解だけを目指さず寄り道やその先まで自分流に楽しむ趣味プログラミングの探求 2025-11-15 YAPC::Fukuoka
sugyan
1
740
ステートレスなLLMでステートフルなAI agentを作る - YAPC::Fukuoka 2025
gfx
8
1.2k
機密情報の漏洩を防げ! Webフロントエンド開発で意識すべき漏洩パターンとその対策
mizdra
PRO
9
3.4k
手を動かしながら学ぶデータモデリング - 論理設計から物理設計まで / Data modeling
soudai
PRO
24
5.4k
Featured
See All Featured
GraphQLの誤解/rethinking-graphql
sonatard
73
11k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
9
970
Rails Girls Zürich Keynote
gr2m
95
14k
It's Worth the Effort
3n
187
28k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
37
2.6k
Visualization
eitanlees
150
16k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
320
Writing Fast Ruby
sferik
630
62k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Raft: Consensus for Rubyists
vanstee
140
7.2k
Building a Modern Day E-commerce SEO Strategy
aleyda
45
8k
Context Engineering - Making Every Token Count
addyosmani
9
380
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! 🙏