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
JSConf jp 2021 kaonavi front-end development in...
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
South
March 25, 2022
Programming
1
240
JSConf jp 2021 kaonavi front-end development in the monolithic service
South
March 25, 2022
Tweet
Share
More Decks by South
See All by South
Automating Web Accessibility Testing with AI Agents
maminami373
1
1.9k
TSConfig Solution Style & subpath imports to switch types on a per-file basis
maminami373
2
300
JSConf JP 2022 introduce React Query
maminami373
2
7.3k
Front-end rearchitect SPA
maminami373
0
510
単体テストゼロからテスト文化を醸成させた話 / Fostering the testing culture
maminami373
0
2.4k
Other Decks in Programming
See All in Programming
Head of Engineeringが現場で回した生産性向上施策 2025→2026
gessy0129
PRO
0
190
CSC307 Lecture 13
javiergs
PRO
0
310
「やめとこ」がなくなった — 1月にZennを始めて22本書いた AI共創開発のリアル
atani14
0
300
AWS Infrastructure as Code の新機能 2025 総まとめ~ SA 4人による怒涛のデモ祭り ~
konokenj
8
2k
nilとは何か 〜interfaceの構造とnil!=nilから理解する〜 / Understanding nil in Go Interface Representation and Why nil != nil
kuro_kurorrr
3
1.3k
CopilotKit + AG-UIを学ぶ
nearme_tech
PRO
1
110
AIに仕事を丸投げしたら、本当に楽になれるのか
dip_tech
PRO
0
160
go directiveを最新にしすぎないで欲しい話──あるいは、Go 1.26からgo mod initで作られるgo directiveの値が変わる話 / Go 1.26 リリースパーティ
arthur1
2
360
Package Management Learnings from Homebrew
mikemcquaid
0
280
Event Storming
hschwentner
3
1.3k
CSC307 Lecture 14
javiergs
PRO
0
430
株式会社 Sun terras カンパニーデック
sunterras
0
1.9k
Featured
See All Featured
Ten Tips & Tricks for a 🌱 transition
stuffmc
0
80
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
9.9k
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
200
A Soul's Torment
seathinner
5
2.4k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.7k
So, you think you're a good person
axbom
PRO
2
1.9k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
90
First, design no harm
axbom
PRO
2
1.1k
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.1k
Navigating Weather and Climate Data
rabernat
0
120
Embracing the Ebb and Flow
colly
88
5k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
130
Transcript
ؒ͠ଓ͚͖ͯͨ ϞϊϦγοΫαʔϏεʹ͓͚Δ ϑϩϯτΤϯυ։ൃ +4$POG+1 גࣜձࣾΧΦφϏ:VVLJ.JOBNJ
w :VVLJ.JOBNJ w ݄ΧΦφϏೖࣾ w ϑϩϯτΤϯυࢧԉνʔϜ !"#"$%#"$&"$%#"$
͢͜ͱ ͷ։ൃʹΑΓ େྔͷίʔυ͕ੵ͞ΕͨαʔϏεʹ͓͚Δ ϑϩϯτΤϯυ։ൃͷऔΓΈ
ΧΦφϏʹ͍ͭͯ
None
ٕज़ελοΫ 'SPOUFOE #BDLFOE *OGSBTUSVDUVSF 0UIFST
ωοτϫʔΫߏ ˞େ෯ʹ؆ུԽ͍ͯ͠Δ
3FBDUϨϯμϦϯάͷϑϩʔ ϦΫΤετ ϧʔςΟϯά $POUSPMMFS"DUJPO͕7JFXΛ443ͯ͠ฦ٫ ΫϥΠΞϯταΠυͰόϯυϧΛϩʔυ 3FBDU%0.SFOEFS -BSBWFM
'JSTUDPNNJU αʔϏεࣗମ͜ͷίϛοτҎલΑΓఏڙ͓ͯ͠Γ ݱߦͷϦϙδτϦόʔδϣϯܥͱݺΕΔͷ લ
ΤϯδχΞ ໊ Ұिؒ͋ͨΓͷ Ϛʔδίϛοτ ίϛοτ ίʔυྔ ສߦ ˞ςετίʔυΛআ͘
1)1ສߦ K2VFSZສߦ 3FBDUສߦ ίʔυྔ ສߦ ༁
K2VFSZͱ3FBDU
3FBDUͷಋೖ w 3FBDUಋೖҎલK2VFSZ -BSBWFMͷςϯϓϨʔτΤϯδϯʢ#MBEFʣ w dʹ͔͚ͯ3FBDUΛಋೖ w ಋೖҎ߱৽ػೳʢ৽نϖʔδʣΛ3FBDUº5ZQF4DSJQU w ঢ়ଶཧ3FEVY
5PPMLJU w $44JO+4TUZMFEDPNQPOFOUT
K2VFSZͱ3FBDUͷڞଘ ಛఆͷ݅ԼͷΈͰڐ༰ ͦΕͧΕ͕6*ͱͯ͠ಠཱ͍ͯ͠Δ ͦΕͧΕͷؒͰσʔλঢ়ଶͷड͚͕͠ۃྗͳ͍
6*ͱͯ͠ಠཱ͍ͯ͠Δ w Ϟʔμϧ φϏήʔγϣϯͳͲ w K2VFSZଆͷάϩʔόϧͳ$44ͷӨڹΛड͚͕ͪ w K2VFSZͷ໋ྩతͳ%0.ͷมߋɾഁغͷӨڹΛड͚ΔՄೳੑ
σʔλঢ়ଶͷड͚͕͠ۃྗͳ͍ w K2VFSZͱͷ࿈ܞʹ໋ྩతͳهड़͕ඞཁͰ͋Γɺએݴత6*ʹԊ͍ͬͯͳ ͍͠อकͭΒ͍ w 3FBDUͷॳճϨϯμʔͷͨΊʹඞཁͳσʔλٴͼɺ3FBDUͷ6*ͰϢʔ βʔ͕ߦͬͨॲཧ͔ΒಘͨσʔλΛ࠷ऴతʹฦ͢ࡍ͜ΕʹݶΒͳ͍
݅ʹͯ·Βͳ͍߹ɾɾɾ K2VFSZͱ3FBDU྆ऀͷίʔυΛ͏͜ͱʹͳΓ ։ൃऀମݧɾอकੑΛଛͳ͍͔Ͷͳ͍
ΧελϜΠϕϯτΛఆٛ PO ͷҾͱͯ͠σʔλΛ ड͚औΓ1SPQTͱͯ͢͠ K2VFSZଆͰϨϯμϦϯά͠ ͍ͨλΠϛϯάͰύϥϝʔ λͱڞʹUSJHHFS
ൃՐ ڞଘͷ࣮ྫ K2VFSZͷ࣮͔Β3FBDUͷϞʔμϧΛల։ K2VFSZΛར༻ͤͣωΠςΟϒͳ+4ͰΧελϜΠϕϯτΛఆٛͯ͠Α͍
طଘͷK2VFSZ࣮ϖʔδ w 3FBDUͷϦϓϨΠεʢϦχϡʔΞϧʣରԠத w ϦχϡʔΞϧ w K2VFSZͦͷ··ͷ6*Λ3FBDUʹஔ͖͑ΔͷͭΒ͔ͬͨɾɾɾ w 69্ɾσβΠϯ৽ಉ࣌ʹ💪
औΓΈɾΈ
σΟϨΫτϦߏ 'FBUVSFT1BUUFSO w 3FEVY͕ਪ͍ͯ͠Δύλʔϯ w ݩʑ%VDLTύλʔϯΛ࠾༻͍ͯͨ͠ w େنͳΞϓϦͩͱɺTSDԼʹΧςΰϦ ͚͞ΕͨσΟϨΫτߏϑΝΠϧؒͷҠಈ ͕ਏ͔͕ͬͨɺָʹʂ
w 'FBUVSFຖʹ͋Δఔͷࣗ༝Λ࣋ͨͤɺ ػೳνʔϜʹదͨ͠ܗͰॊೈʹӡ༻Մೳ
,BPOBWJ%FTJHO4ZTUFN ,%4 w ڞ௨3FBDUίϯϙʔωϯτͱ6*ͷҰ؏ੑΛఏڙ w छྨҎ্ͷίϯϙʔωϯτ w 'JHNBͱͷ߹ੑΛॏࢹ͠ɺσβΠφʔͱΤϯδχΞͷίϛϡχέʔγϣϯίε τݮ w
ެ։ࣾʹରͯ͠ͷΈʢύϒϦοΫʹ͍͖͍ͯͨ͠ɾɾɾʂʣ
σβΠϯγεςϜͷٕज़ w ΧΦφϏຊମͱผϦϙδτϦ w (JU-BCͷ1BDLBHF3FHJTUSZΛར༻͠ ϓϥΠϕʔτͳ/1.ύοέʔδͱͯ͠ఏڙ w 4UPSZCPPLͰཧ w 5FTUJOH
w 3&(46*5 w +FTU 3FBDU5FTUJOH-JCSBSZ
3&(46*5 4UPSZCPPL͔Β6*ࠩΛݕ
σβΠϯγεςϜߏஙͷഎܠ w ݩʑΧΦφϏຊମͷϦϙδτϦͰ"UPNJD%FTJHOʹ४ڌͨ͠ίϯϙʔωϯτ ӡ༻ͷߏ w σβΠφʔͱΤϯδχΞͷڞ௨ݴޠͱͳΔΑ͏ͳج൫ʹ αʔϏεͷಛੑ͔Βɺػೳຖʹࣗ༝ͷߴ͍σβΠϯ͕ٻΊΒΕ "UPNJD%FTJHOʹ४ڌ͢ΔͭΒΈ͕ੜ͡ɺഇࢭ ڞ௨ݴޠʹͰ͖ͳ͔ͬͨ
σβΠϯγεςϜߏஙͷഎܠ w ݱߦͷσβΠϯγεςϜͱͯ͠ϦχϡʔΞϧ w ࠷ݶͷڞ௨ίϯϙʔωϯτͷΈΛཧ͢ΔΑ͏ʹ
ϓϩμΫτͷϦϙδτϦͱ͚ͨϝϦοτ w ΞδϦςΟͷ্ w ϦϦʔεɾ$*͕Γ͞ΕΔ w ٕज़બఆͷ෯͕͕Δ ݱࡏσβΠϯγεςϜΛར༻͍ͯ͠Δͷ ຊମϦϙδτϦ͚͕ͩͩɺԸܙΛेʹ࣮ײ
$VTUPN)PPLTͱ୯ମςετ w $VTUPN)PPLTΛੵۃతʹ࡞ w ίϯϙʔωϯτͷݟ௨͕͠Α͘ͳΔ w $VTUPN)PPLT୯ҐͰϩδοΫͷ65 w SFBDUVTFͳͲ͕ࢀߟʹͳΔ w
3FBDU)PPLT5FTUJOH-JCSBSZΛར༻
3FBDU)PPLT5FTUJOH-JCSBSZ
υΩϡϝϯτ w Ұൠతͳ3FBDUʹؔ͢Δઆ໌͚ͩͰͳ͘ɺΧΦφϏͰར༻͢ΔϥΠϒϥϦͷར༻ํ๏ ͱ߹Θͤͯղઆ w ීஈόοΫΤϯυΛϝΠϯʹ͍ͬͯΔϝϯόʔΦϯϘʔσΟϯάͰల։ 3FBDU։ൃνϡʔτϦΞϧ 3FBDU։ൃΞϧςΟϚ˔Ξ w ΧΦφϏʹ͓͚Δ۩ମతͳ࣮ํ๏ɾํͳͲΛղઆ͢Δ߈ུຊతͳཱͪҐஔ
w "1*௨৴ॲཧͷ࣮ 'PSN࣮ 7BMJEBUJPO࣮ͳͲ
։ൃࢧԉπʔϧ
&4-JOU$VTUPN3VMF w σβΠϯγεςϜͱಉ༷ʹผϦϙδτϦɾϓϥ Πϕʔτͳ/1.ύοέʔδ w σβΠϯγεςϜͰఆٛ͞ΕΔΧϥʔίʔυఆ ͷར༻Λڧ੍͠ɾஔ w !UZQFTDSJQUFTMJOUFTMJOUQMVHJOΛࢀߟ w
!UZQFTDSJQUFTMJOUFYQFSJNFOUBMVUJMT w &4-JOU1MVHJO࡞࣌ͷϢʔςΟϦςΟ
ϒϥϯνࣗಈϚʔδπʔϧ w نͷେ͖ͳ։ൃͰτϐοΫϒϥϯνͱͯ͠ GFBUVSFϒϥϯνΛΔ w NBTUFSϒϥϯνͱͷࠩΛఆظతʹऔΓࠐΉඞཁ ͕͋Γɺ͜ΕΛࣗಈԽ w $*ύΠϥϓϥΠϯޭ࣌ͷΈϚʔδ w
(PPHMF͕ެ։͓ͯ͠Γɺ+BWB4DSJQUͰγΣϧ͕ॻ ͚Δ[YΛར༻ NBTUFS GFBUVSFGPP औΓࠐΈର
ͦͷଞπʔϧ w 1)1Ͱఆٛ͞Εͨ&OVNΛ5ZQF4DSJQUͷఆʹม͢Δπʔϧ w .Z42-ͷεΩʔϚ͔Β5ZQF4DSJQUͷܕΛੜ͢Δπʔϧ
ݱঢ়ͷ՝ͱࠓޙͷల
՝ w K2VFSZͷػೳ͕·ͩ·ͩ͋Δ w -BSBWFM 1)1 ʹґଘ࣮ͨ͠ w .VMUJQMFQBHF"QQMJDBUJPO
ࠓޙ w σβΠϯγεςϜ w BZվળ w && w -BSBWFMґଘ͔Βͷ٫ w
4JOHMFQBHF"QQMJDBUJPO w ϑϩϯτΤϯυΞʔΩςΫνϟ৽
ϑϩϯτΤϯυΞʔΩςΫνϟ৽ "1* "1* ґଘͷղফ Ωϟογϡઓུ
՝ଟ͍͕ ٕज़ෛ࠴ͷฦࡁΞʔΩςΫνϟ৽ ֶͼɾΓ͕͍͕͋Δʂ
5IBOLT 8FBSFIJSJOH '(()*+,,-./)01#.%#2$03),/4-/5$(,6$*(, ϑϩϯτΤϯυͷϞμφΠζ %9ɾ69ͷ࠷େԽ ҰॹʹऔΓΈ·͠ΐ͏ʂ