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
React + Valtio
Search
@YutamaKotaro
October 03, 2021
Programming
140
0
Share
React + Valtio
At RN LT
@YutamaKotaro
October 03, 2021
More Decks by @YutamaKotaro
See All by @YutamaKotaro
0->1 現場におけるReactNative
yutamakotaro
0
250
ライブラリはしご酒
yutamakotaro
0
190
My experience for 3 years with React Native
yutamakotaro
0
71
React Nativeと共に歩んだ3年間【TECH STAND #3】
yutamakotaro
1
1.4k
React Native Game Engine in React Native Tech Blog Event
yutamakotaro
1
2k
React Native Book
yutamakotaro
0
86
AWS Summit2019 airCloset section
yutamakotaro
1
230
フルJSアーキテクトで作るエアークローゼット
yutamakotaro
2
620
タイタニック ロジスティック回帰
yutamakotaro
0
190
Other Decks in Programming
See All in Programming
SkillがSkillを生む:QA観点出しを自動化した
sontixyou
6
3.4k
第3木曜LT会 #28
tinykitten
PRO
0
110
Swift Concurrency Type System
inamiy
0
530
AIベース静的検査器の偽陽性率を抑える工夫3選
orgachem
PRO
3
310
HTML-Aware ERB: The Path to Reactive Rendering @ RubyKaigi 2026, Hakodate, Japan
marcoroth
0
140
Angular Signal Forms
debug_mode
0
110
Lightning-Fast Method Calls with Ruby 4.1 ZJIT / RubyKaigi 2026
k0kubun
3
410
PHP で mp3 プレイヤーを実装しよう
m3m0r7
PRO
0
280
Running Swift without an OS
kishikawakatsumi
0
840
2026-03-27 #terminalnight 変数展開とコマンド展開でターミナル作業をスマートにする方法
masasuzu
0
340
おれのAgentic Coding 2026/03
tsukasagr
1
150
Making the RBS Parser Faster
soutaro
0
380
Featured
See All Featured
Practical Orchestrator
shlominoach
191
11k
The World Runs on Bad Software
bkeepers
PRO
72
12k
Being A Developer After 40
akosma
91
590k
Done Done
chrislema
186
16k
Exploring anti-patterns in Rails
aemeredith
3
320
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.1k
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.2k
Optimizing for Happiness
mojombo
378
71k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
260
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
530
Leading Effective Engineering Teams in the AI Era
addyosmani
9
1.9k
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.2k
Transcript
3FBDU 7BMUJP !:VUBNB,PUBSP
7VFͷੈքʹߦ͖ͬͯ·ͨ͠ʂ ͍͍ͳ͊ɾɾͱࢥ͍ͭͭɺ3FBDUͷྑ͞Λ࠶ೝ ࣝ͢ΔʹࢸΓɺWBMUJPಋೖΛܾΊͨͷͰฉ͍ͯ͘ ͍ͩ͞ɻ
7VFQPJOUGSPNSFBDUVTFS ͱʹ͔͘؆ܿʹ͔͚Δ͕ඇৗʹΑ͍ɻ 3FBDU 7VF
7VFQPJOUGSPNSFBDUVTFS ͱʹ͔͘؆ܿʹ͔͚Δ͕ඇৗʹΑ͍ɻ 3FBDU 7VF
7VFQPJOUGSPNSFBDUVTFS ͱʹ͔͘؆ܿʹ͔͚Δ͕ඇৗʹΑ͍ɻ 3FBDU 7VF
7VFQPJOUGSPNSFBDUVTFS + 5 49͕࠷ߴͳΜͰɾɾɾɻͱ͍͏ҙݟ͕ࢄݟ 7VF 1SPQTͰϋϯυ ϥΛ͢ܗࣜɻ
7VFQPJOUGSPNSFBDUVTFS ݺͼग़͠ݩͰఆٛ Մೳɻ + 5 49͕࠷ߴͳΜͰɾɾɾɻͱ͍͏ҙݟ͕ࢄݟ
7VFQPJOUGSPNSFBDUVTFS ͱࢸͬͯී௨ʹ͏͜ͱ͕Ͱ͖·͢ɻ ͦͷଞɺ$VTUPNIPPLTDPOUFYU"1* ૬ͳͷ͋ͬͨΓɾɾɾɾ ͱΓΘ͚ศརͩͬͨͷ͕ɾɾɾ
3FBDUJWF ͱΓΘ͚ศརʹײͨ͡ͷSFBDUJWF ͱΓΘ͚ศརʹײͨ͡ͷ SFBDUJWF
7VFQPJOUGSPNSFBDUVTFS ඇৗʹ༏Εͨػೳ͕ͨ͘͞Μ͋ΔΜͰ͕͢ɾɾ Ұ෦ͷػೳ+49Ͱ͑ͳ͍ͷͰɺ݁ہ 4'$ʢ4JOHMF'JMF$PNQPOFOU͍ΘΏΔ7VFه ๏ ʹؼண͠·ͨ͠ʢɻɻɻҰ෦͚ͩKTYΛ͏ ͷ͋Γͩͱࢥ͍·͢ɾɾʣɻ
ͬͺ+49͍͍ͬ͢ΑͶ Ͱͬͺ+49͍͍ͬ͢ΑͶɻγϯϓϧͰہॴతͳ ར༻Ͱ͖ɺίϯϙʔωϯτ࡞ͷқ͕ͱͯ Լ͕Γ·͢ɻ ͦͯ͠ɺԿΑΓࢥͬͨͷɺ ɹɹʰ؆୯ʹॻ͚Δʱʰγϯϓϧʹॻ͚Δʱ ɹɹɹɹɹɹɹɹɹɹɹɹɹΛཱ͍྆ͨ͠ͱʂʂ
͜ΕΛ+49ΰϦΰϦڥͰ͔͖͍ͨ +49ΰϦΰϦڥɺͭ·Γ3FBDUͳΜͰ͕͢ɾɾ $POUFYU"1*Ͱશମཧ͢ΔͷͪΐͬͱΊΜͲ͘ ͍͞͠ɻɻɻ 3FEVY3FDPJMΑΓͬͱ͓खܰʹࣗ༝ʹָ͠ ͍ͨɻɻɻ
ӡ໋ͷग़ձ͍ʂ ୳ͯ͠Έͯͳ͔ͬͨΒ࡞Ζ͏ͱࢥͬͯͨΒɾɾɾ 7BMUJPʹग़ձ͍·ͨ͠ʂʂ ͱͯૉΒ͘͠ײँײܹͰͨ͠ɻ ͱ͍͏͜ͱͰ7BMUJPհɻ ࡞ऀ!EBJTI͞Μ
7BMUJP 1SPYZΛ׆༻ͨ͠ɺͱʹ͔͘ ɹɹγϯϓϧͳεςʔτϚωδϝϯτϥΠϒϥϦͰ͢ʂ 1SPYZΛ͍ͬͯΔͱ͍͏͜ͱɻɻɻɻ ɹɹɹɹɹͦ͏ɺϦΞΫςΟϒͳॻ͖ํ͕Ͱ͖ΔͷͰ͢ɻ
7BMUJP ͜ΕʹΑͬͯɺ͋ͱϦ ΞΫςΟϒʹίʔυΛॻ ͚ͩ͘ɾɾʂʂ ͍͜͠ͱԿͳ͓͘ ͖ʹࣗ༝ʹίʔυΛॻ ͚ͩ͘ɻ
7BMUJPGPS"DUJPO "DUJPO૬ͷͷ ؔΛఆٛ͢Δ͚ͩ TUBUFͷΞΫηε ͳͲఆٛͨ͠ͷ ΛಡΈࠐΉ͚ͩͰ 0,ɻ
7BMUJPTVCTDSJCF Α3FBDUʹͱͲ·Β ͳ͍Ͱ͕͢ɾɾɾ αϒεΫϥΠϒ؆୯ʹ Ͱ͖·͢ɻ
7BMUJPDPNQVUFE1SPQFSUJFT ࢉज़ϓϩύςΟͷఆٛ Մೳɻ ʢ"DUJPOΛTUBUFʹؚ ΊΔ͜ͱՄೳͰ͢ʣ
7BMUJPBSSBZ ࢸͬͯී௨ʹ"SSBZͷૢ࡞ ߦ͑ΔͷͰɺؾʹ͢Δ͜ ͱຊʹগͳ͍ɻ ෦ͰύϑΥʔϚϯε;͘ ΊͪΌΜͱͨ͠ൺֱΛߦͬ ͯ͘Ε͍ͯΔɻ
7BMUJPBSHVNFOUFEVTF4UBUF VTF4UBUFΛ֦ு͢ Δ͜ͱͰ͖ͨʂ ͓΄ʔʂʂ ʢVTF3FBDUJWFউख ʹ࡞ͬͨͷͰ͢ʣ
·ͱΊ γϯϓϧʹॻ͚Δʴ؆ૉʹॻ͚Δɹ 3FBDUͷྑ͞Λ7VFͷྑ͞Λମײ͠ɺ ͱ͍͏ਤࣜΛٻΊͨɻ݁Ռ7BMUJPʹग़ձͬͨɻ ݁Ռɺ࠷ߴͰͨ͠ʂʂɹ
ݒ೦ ͱ͍͑ɾɾɾ γϯϓϧ͗͢ΔͨΊɺνʔϜ։ൃʹ͓͍ͯ TUBUFΛॻ͖͑Δ TUBUFΫϥοΧʔ ॻ͖ํ͕·ͱ·Βͳ͍ʢDPEFεϓϨομʔʣ ͱ͍ͬͨײ͡ʹXBZʹΕͳ͍ͷͰɺ͔ͬ͠Γͱํ
Λߟ͑ڞ༗͍ͯ͘͠ඞཁ͕͋Δؾ͕͢Δɻ
ͱ͍͑ɺ͕͔ͩ͠͠ ࣗ༝͕ݶΓͳ͘ߴ͍ͨΊ ࣗͰ࡞Γ্ָ͍͛ͯ͘͠Έ ੈք؍ͷ࣮ݱ ΧελϚΠζੑͷ͔ͨ͞ ͱ͍ͬͨϚΠϯΫϥϑτతͳָ͠͞ਵҰɻ
༨ஊ 7BOJMB+4Ͱಈ͘͜ͱҰͭͷྑ͔͞ QSPYZTUBUFΛ'& #&Ͱ ɹɹɹɹɹڞ༗͢ΔͨΊʹ͏ͷ͋Γ͔ɻɻɻ
݁ʢݸਓతͳײʣ ͜Εɺͱ͍͍ͯͷͩɻ εΩϧϨϕϧͷ෯͍νʔϜͩͱΉ͔ͳ͍͔ ౷੍ͷͱΕͨνʔϜ͔ݸਓͩͱ͘ ͱʹ͔͘γϯϓϧͳͷͰϙςϯγϟϧߴ͍͕ɺ ͦΕΛҾ͖ग़ͤΔͷ͔։ൃऀ࣍ୈɻ