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
VASILY流CSSコーディング
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
AmatsukiKu
June 07, 2017
Programming
2.1k
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
VASILY流CSSコーディング
Fashion Tech meetup #4で発表した資料です。
デザインをWebに再現し続ける際に陥りがちな問題とそれらに対しVASILYではどのように対応しているかを紹介しています。
AmatsukiKu
June 07, 2017
More Decks by AmatsukiKu
See All by AmatsukiKu
ZOZOのグローバルECのフロントエンドアーキテクチャ設計 / Frontend Architecture Design of ZOZO
amatsukiku
13
8.2k
Lighthouseを用いたサイト改善 / Website Improvements Using Lighthouse
amatsukiku
0
1.9k
新しくなったMaterial Designを触ってみた / Tried Material Design 2018
amatsukiku
0
3.2k
test-queueによるテスト高速化
amatsukiku
1
950
Other Decks in Programming
See All in Programming
Signal Forms: Beyond the Basics @ngBaguette 2026 in Paris
manfredsteyer
PRO
0
250
TSKaigi Night Talks 2026_TypeScriptでサプライチェーンの整合性を型に閉じ込める
geekplus_tech
0
350
Lessons from Spec-Driven Development
simas
PRO
0
190
決定論的オーケストレーションの設計と実装 / Design and Implementation of Deterministic Orchestration
nrslib
3
1.3k
メソッドのジェネリクスでGoの夢は広がるか? / Kyoto.go #65
utgwkk
3
750
ADKを使って簡単にAIエージェントを作ってみよう
k1mu21
0
260
不変条件と整合性境界—ビジネスが決める設計判断と実現パターン / Invariants and Consistency Boundaries
nrslib
13
4k
dRuby over BLE
makicamel
2
340
Oxcを導入して開発体験が向上した話
yug1224
4
310
さぁV100、メモリをお食べ・・・
nilpe
0
140
Javaの型とAI時代に型が大事な理由 / java types and type in AI era
kishida
2
130
そのテスト、説明できますか?~LWテスト戦略FW~のご紹介
nakahara
0
110
Featured
See All Featured
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
Mobile First: as difficult as doing things right
swwweet
225
10k
Crafting Experiences
bethany
1
180
Leading Effective Engineering Teams in the AI Era
addyosmani
9
2k
Kristin Tynski - Automating Marketing Tasks With AI
techseoconnect
PRO
0
270
The State of eCommerce SEO: How to Win in Today's Products SERPs - #SEOweek
aleyda
2
11k
Darren the Foodie - Storyboard
khoart
PRO
3
3.4k
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
410
Being A Developer After 40
akosma
91
590k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
360
Embracing the Ebb and Flow
colly
88
5.1k
Producing Creativity
orderedlist
PRO
348
40k
Transcript
7"4*-:ྲྀ $44ίʔσΟϯά ,FOKJ(POOPLBNJ 'BTIJPO5FDINFFUVQ
ݖक݈࢚ ʢ͝Μͷ͔Έ͚Μ͡ʣ !"NBUTVLJ,V 7"4*-: *OD 'SPOUFOEFOHJOFFS w ৽ଔͱͯ͠7"4*-:ʹೖࣾ w *20/ͳͲͷ1$ɾεϚϗαΠτΛ୲
w ࠓ݄͔ΒωΠςΟϒΞϓϦ։ൃʹ+PJO
ࠓͷτϐοΫ σβΠϯΛ8FC্ʹ࠶ݱ͠ଓ͚ΔࡍʹؕΓ͕ͪͳͱରԠํ๏
։ൃ࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ ୯७ͳݟམͱ͠ ݟ͑ͳ͍σβΠϯ ӡ༻࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ มߋ࿙Ε
ҙਤ͠ͳ͍มߋ ·ͱΊ ࣍
։ൃ࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ ୯७ͳݟམͱ͠ ݟ͑ͳ͍σβΠϯ ӡ༻࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ มߋ࿙Ε
ҙਤ͠ͳ͍มߋ ·ͱΊ ࣍
σβΠϯͱݟൺͳ͕Β࣮ʹޡΓ͕ͳ͍͔Λ֬ೝ͢Δͷ ؒҧ͍୳͠ͷΑ͏ͳͷ ୯७ͳݟམͱ͠ σβΠϯσʔλ ࣮ࡍʹίʔσΟϯάͨ͠ͷ
ҙͷը૾Λಁաɺ֦େɾॖ খͯ͠ॏͶΒΕΔ֦ுػೳ ରԠϒϥβ $ISPNF 4BGBSJ 'JSFGPY 0QFSB *& &EHF
1FSGFDU1JYFM
ॏͶͯෆ໌ྎͳ߹ σʔλ͕ҟͳΔͱॏͶͯΘ͔Γʹ͍͘ ϞοΫσʔλΛ༻͍Δ
w σβΠϯͱಉ͡Λ࣋ͭσʔλΛ:".-ʹఆٛ w ։ൃڥͰͷΈσʔλΛ্ॻ͖͢Δ3BJMTͷ ϔϧύʔϝιουͱ࣮ͯ͠ ϞοΫσʔλͷద༻ DPOpHNPDLJUFNZNM
։ൃ࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ ୯७ͳݟམͱ͠ ݟ͑ͳ͍σβΠϯ ӡ༻࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ มߋ࿙Ε
ҙਤ͠ͳ͍มߋ ·ͱΊ ࣍
w ෳߦͷςΩετ w Ξχϝʔγϣϯ ݟ͑ͳ͍σβΠϯ
࣮σʔλ͕ೖΔ͜ͱͰɺվߦ͕ඞཁͱΘ͔Δ͜ͱΑ͋͘Δ w ͍ϒϥϯυ໊ࣄલʹڞ༗ w 6/*5&%"33084HSFFOMBCFMSFMBYJOH w ("--"3%"("-"/5& w ඞཁʹԠͯ͡σʔλϕʔεΛௐɺ࠷େจࣈͳͲσʔλ ͷಛΛڞ༗
ෳߦͷςΩετ
Ξχϝʔγϣϯ࣮ʹ੍ݶ͕ଟ͍͜ͱ͋ΔͷͰɺ Πϝʔδ͚ͩฉ͖ɺ࣮ͨ͠ͷΛ֬ೝͯ͠Β͍ௐ Ξχϝʔγϣϯ
։ൃ࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ ୯७ͳݟམͱ͠ ݟ͑ͳ͍σβΠϯ ӡ༻࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ มߋ࿙Ε
ҙਤ͠ͳ͍มߋ ·ͱΊ ࣍
σʔλϕʔε"1*ͱൺɺ$44৽ँ͕ܹ͍͠ ʢදࣔ͢Δ༰ಉ͡Ͱݟͨม͑Δʣ ཧ͕͍ͱɺ$44ϧʔϧॠؒ͘ʹංେԽ ӡ༻࣌ʹى͜Δ͜ͱ
ӡ༻Λ͍ͯ͠ΔͱมߋՕॴ͕ൣғʹٴͿվम͕ى͜Δ w Ұཡͷϒϥϯυ໊ͷӳޠදهͱຊޠදهΛಉ͡ ߦ͔Βೋߦʹ w αΠτશମͷϘʔμʔΧϥʔͷมߋ w ϩΰͱςʔϚΧϥʔͷมߋ มߋ࿙Ε ڞ௨Խ͖͢ՕॴͰ͍ͯ͠ͳ͍ͱมߋ࿙Ε͕ى͖Δ
σβΠϯଆͰ4LFUDIͷγϯϘϧͱͯ͠ɺίʔσΟϯάଆ Ͱ4BTTͷఆϞδϡʔϧͱͯ͠ڞ௨Խ ڞ௨Խ γϯϘϧΛฤू͢Δ͜ͱͰɺσβΠϯશମ͕मਖ਼͞ΕΔ
ఆɾϞδϡʔϧԽ TUZMFTIFFUTTIBSFEDPNNPOTBTT TUZMFTIFFUTTIBSFENJYJOTTBTT σβΠϯ্ͷΧϥʔύϨοτʹ૬ ίʔσΟωʔτϞδϡʔϧ
։ൃ࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ ୯७ͳݟམͱ͠ ݟ͑ͳ͍σβΠϯ ӡ༻࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ มߋ࿙Ε
ҙਤ͠ͳ͍มߋ ·ͱΊ ࣍
$44ͷελΠϧద༻ൣғͷͰҙਤ͍ͯ͠ͳ͍ՕॴΛมߋ ίʔσΟϯάنͰద༻ൣғΛݶఆ ҙਤͤ͵มߋ w 7JFX$44 w ໋໊نଇ ྫɿ͋Δϖʔδ͚ͩݟग़͠Λେ͖ͨͭ͘͠Γ͕ଞͷϖʔδͷ ݟग़͠େ͖͘ͳͬͯ͠·ͬͨ
I IͷΑ͏ͳ୯७ͳηϨ ΫλʔͰଞͷϖʔδʹӨ ڹΛ༩͑ͳ͍ TUZMFTIFFUTTFUTTQJOEFYTBTT ڞ௨ϑΝΠϧ ɹϨΠΞτʹؔ͢Δ Ϋϥε Ϟδϡʔϧͷϩʔυ
ࠩݕग़πʔϧ େنͳϦϑΝΫλϦϯά࣌ʹओཁϖʔδʹରͯ͠πʔϧ Λ༻͍ͯޮతʹ֬ೝ ΧϥϜམ͕ͪൃੜ ͍ͯ͠Δ ࠩͷݕग़ ։ൃલ ։ൃޙ ࠩ
։ൃ࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ ୯७ͳݟམͱ͠ ݟ͑ͳ͍σβΠϯ ӡ༻࣌ʹؕΓ͕ͪͳͱͦͷରԠ๏ มߋ࿙Ε
ҙਤ͠ͳ͍มߋ ·ͱΊ ࣍
w πʔϧΛ༻͍Δ͜ͱͰޮతʹσβΠϯͱ ࣮ͷͣΕΛ֬ೝ w ڞ௨ԽΛҙࣝ͢Δ͜ͱͰมߋ࿙ΕΛࢭ w نͰյΕʹ͍͘ίʔυΛҡ࣋ ·ͱΊ