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
デザイナー・エンジニアのコンポーネント分類基準とその理想郷
Search
Xuesu Li
December 10, 2018
Programming
8
4.1k
デザイナー・エンジニアのコンポーネント分類基準とその理想郷
Xuesu Li
December 10, 2018
Tweet
Share
More Decks by Xuesu Li
See All by Xuesu Li
手書きSVGいいよ
resessh
0
220
Other Decks in Programming
See All in Programming
生成AI時代のコンポーネントライブラリの作り方
touyou
1
260
코딩 에이전트 체크리스트: Claude Code ver.
nacyot
0
870
猫と暮らす Google Nest Cam生活🐈 / WebRTC with Google Nest Cam
yutailang0119
0
160
Rubyでやりたい駆動開発 / Ruby driven development
chobishiba
1
750
テストから始めるAgentic Coding 〜Claude Codeと共に行うTDD〜 / Agentic Coding starts with testing
rkaga
15
5.3k
ふつうの技術スタックでアート作品を作ってみる
akira888
1
1.1k
The Evolution of Enterprise Java with Jakarta EE 11 and Beyond
ivargrimstad
0
180
顧客の画像データをテラバイト単位で配信する 画像サーバを WebP にした際に起こった課題と その対応策 ~継続的な取り組みを添えて~
takutakahashi
1
310
チームのテスト力を総合的に鍛えて品質、スピード、レジリエンスを共立させる/Testing approach that improves quality, speed, and resilience
goyoki
5
1k
GitHub Copilot and GitHub Codespaces Hands-on
ymd65536
2
150
Advanced Micro Frontends: Multi Version/ Framework Scenarios @WAD 2025, Berlin
manfredsteyer
PRO
0
370
The Modern View Layer Rails Deserves: A Vision For 2025 And Beyond @ RailsConf 2025, Philadelphia, PA
marcoroth
2
670
Featured
See All Featured
[RailsConf 2023] Rails as a piece of cake
palkan
55
5.7k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
130
19k
Large-scale JavaScript Application Architecture
addyosmani
512
110k
The Art of Programming - Codeland 2020
erikaheidi
54
13k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.8k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
53
2.9k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
VelocityConf: Rendering Performance Case Studies
addyosmani
332
24k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
7
740
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
20
1.3k
Agile that works and the tools we love
rasmusluckow
329
21k
Building an army of robots
kneath
306
45k
Transcript
σβΠφʔɾΤϯδχΞͷ ίϯϙʔωϯτྨج४ͱ ͦͷཧڷ ཥઇॗ!SFTFTTI ɹୈ̍ճ"UPNJD%FTJHOʹ͍ͭͯߟ͑Δձ
✋Ξϯέʔτ w σβΠφʔ w ϑϩϯτΤϯυΤϯδχΞ w όοΫΤϯυΤϯδχΞ w ͷൺ͕Γ͍ͨͷͰڍख͓Ͷ͕͍͠·͢ʢෳڍखՄʣ
"ࣗݾհ w Γͤͬ͠Ύ ཥઇॗ !SFTFTTI w 3FUUZגࣜձࣾ w ڕհܥϥʔϝϯ୲
w $44ΤϯδχΞϑϩϯτΤϯυσβΠφʔ w )5.-$44+BWB4DSJQU7VFKTͳͲ
͜Μͳ͜ͱ͋Γ·ͤΜ͔ʁ ୈҰճ"UPNJD%FTJHOΛߟ͑ΔձΞϯέʔτ݁ՌΑΓ
͜Μͳ͜ͱ͋Γ·ͤΜ͔ʁ ୈҰճ"UPNJD%FTJHOΛߟ͑ΔձΞϯέʔτ݁ՌΑΓ
ͦΕͳʂ
&ࠓ͢͜ͱ w ίϯϙʔωϯτΛྨ͢Δཧ༝ɾج४ w σβΠφʔฤ w ΤϯδχΞฤ w ͦΕͧΕͷج४Λ߹ମͤ͞Δ
ίϯϙʔωϯτΛ ྨ͢Δཧ༝ɾج४ 'σβΠφʔฤ
r#SBE'SPTU ͦͦ l"UPNJDEFTJHOJTBNFUIPEPMPHZGPSUIJOLJOHBCPVU VTFSJOUFSGBDFT OPU$44BSDIJUFDUVSFz l"UPNJDEFTJHOϢʔβΠϯλʔϑΣʔεΛߟ͑Δ ͨΊͷํ๏Ͱɺ$44ΞʔΩςΫνϟͰͳ͍ɻz IUUQTXFCEFTJHOUVUTQMVTDPNBSUJDMFTTUSVDUVSJOHTBTTTBZJOHHPPECZFUPBUPNJDEFTJHOBNCJHVJUZDNTDPNNFOU
"UPNJD%FTJHOͷྨ ໎ͬͨΒσβΠϯͷج४Ͱ ߟ͑ͨ΄͏͕Αͦ͞͏
σβΠφʔ͕ίϯϙʔωϯτ Λྨ͢Δཧ༝ ෳਓͷσβΠφʔ͕ڞಉ࡞ۀΛͯ͠τϯϚφΛ౷Ұ ͍ͨ͘͢͠͠ ίϯϙʔωϯτΛ࠶ར༻͢Δࡍʹ୳͍ͨ͘͢͠͠ ίϯϙʔωϯτ͕ͲͷϢʔβߦಈͷϑΣʔζʹର͢Δ ͳͷ͔ɺΛ໌֬ʹ͢Δ͜ͱͰɺʹରͯ͠վળΛ
ߦ͏ίϯϙʔωϯτΛ୳͍ͨ͘͢͠͠
ϢʔβߦಈͷϑΣʔζ w ը໘શମ͔Βؔ৺ͷ͋ΔίϯςϯπΛ୳͢ w ίϯςϯπͷ֓ཁΛेʹཧղ͢Δ w ߦ͍͍ͨΞΫγϣϯͷखॱΛཧղ͢Δ w ΞΫγϣϯͷ࣮ߦঢ়گɾ݁ՌΛཧղ͢Δ ཻେ
ཻখ
ϢʔβߦಈͷϑΣʔζΛ ϕʔεʹج४Λ࡞Δͱ ྨͷҙຯ͕͋Γͦ͏
ίϯϙʔωϯτΛ ྨ͢Δཧ༝ɾج४ )ΤϯδχΞฤ
ΤϯδχΞ͕ίϯϙʔωϯτ Λྨ͢Δཧ༝ ґଘͷํੑΛ࡞Δ͜ͱͰɺมߋͷӨڹൣғΛڱΊ͍ͨ ࠷খ୯Ґͷྨ͕͖ͪΜͱ্࣮ͷ࠷খ୯ҐͰແ͍ͱɺ࣮ ӡ༻͕ਏ͍ɻ·ͨɺ࠷খ୯Ґඞͣίϯϙʔωϯτݺ ͼग़͠ʹͳͬͯ΄͍͠ ϖʔδίϯςϯπͷϨΠΞτͱϖʔδίϯςϯπ֎ͷ
ϖʔδશମͷϨΠΞτͰ͚͍ͨ σʔλιʔε͕ܾ·ͬͨίϯϙʔωϯτͱͦ͏Ͱͳ͍ίϯ ϙʔωϯτΛ͚Δ͜ͱͰ࠶ར༻ੑΛߴΊ͍ͨ
ϖʔδίϯςϯπͷϨΠΞτͱϖʔδίϯ ςϯπ֎ͷϖʔδશମͷϨΠΞτͰ͚͍ͨ άϨʔεέʔϧͷ෦
σʔλιʔε͕ܾ·ͬͨίϯϙʔω ϯτͱͦ͏Ͱͳ͍ίϯϙʔωϯτ w 4UPSFʹΞΫηεͰ͖ͨΓɺ"1*ΛݺΔͱɺσʔ λιʔεʹґଘ͢ΔͷͰ࠶ར༻͕ͮ͠Β͘ͳΔ w σʔλιʔε͕ܾ·ͬͨίϯϙʔωϯτˠ$POUBJOFS $PNQPOFOUT w ͦ͏Ͱͳ͍ίϯϙʔωϯτˠ1SFTFOUBUJPOBM
$PNQPOFOUT ʮ1SFTFOUBUJPOBMBOE$POUBJOFS$PNQPOFOUTʯ IUUQTNFEJVNDPN!EBO@BCSBNPWTNBSUBOEEVNCDPNQPOFOUTDBGBDE
$POUBJOFS$PNQPOFOUTͱ 1SFTFOUBUJPOBM$PNQPOFOUT͕ ྨͰ͖Εɺ͋ͱ֤ͬΆ͍
ͦΕͧΕͷج४Λ ߹ମͤ͞Δ
1BHFT5FNQMBUFT w 'ը໘શମ͔Βؔ৺ͷ͋ΔίϯςϯπΛ୳ͤΔͨΊͷཻ w )ϖʔδίϯςϯπͷϨΠΞτͱϖʔδίϯςϯπ֎ͷϨ ΠΞτͰ͚͍ͨ w ϖʔδίϯςϯπ֎ͷϨΠΞτ-BZPVUT͕σϑΝΫτͳ ͷͰɺ1BHFT-BZPVUTͰ໋໊͢Δͱ࣮ଆָ͕ͳ͜ͱ w
)࠶ར༻ੑ͍ɻ w ಛఆͷσʔλιʔεʹґଘ͢Δ
1BHFT
5FNQMBUFT -BZPVUT
0SHBOJTNT w 'ίϯςϯπΛेʹཧղ͠ɺ࣍ͷΞΫγϣϯΛىͨ͜͢Ί ͷཻɻ w ίϯςϯπ͕͜ͷίϯϙʔωϯτҰͭͰ݁͢Δɻ63-Λ ͍࣋ͬͯΔ͜ͱ͕ଟ͍ w ΞΫγϣϯਵ͍ͯ͠Δ͜ͱ͕ଟ͍ w
)࠶ར༻ੑͯ͘Α͍ɻ w ඞཁͰ͋Εಛఆͷσʔλιʔεʹґଘ͢Δ͜ͱ͕Ͱ͖Δɻ
0SHBOJTNT
0SHBOJTNT ಛఆͷσʔλιʔεʹґଘ͠ͳ͍ 0SHBOJTNT͕0SHBOJTNTΛؚΉύλʔϯ
0SHBOJTNT
0SHBOJTNT 0SHBOJTNT͕0SHBOJTNTΛؚΉύλʔϯ
.PMFDVMFT w 'ίϯςϯπͷಛఆͷใͷཧղΛਂΊͤ͞ΔͨΊͷཻ w ίϯςϯπ͕ҰͭͰ݁͠ͳ͍ίϯϙʔωϯτ w 'ߦ͍͍ͨΞΫγϣϯͷखॱΛཧղͤ͞ΔͨΊͷཻ w ಛఆͷΞΫγϣϯΛߦ͏6* w
)࠶ར༻͘͢͢͠Δ w ಛఆͷσʔλιʔεʹґଘ͍͚ͯ͠ͳ͍ʂ
.PMFDVMFT
.PMFDVMFT
"UPNT w 'ෳਓͷσβΠφʔ͕ڞಉ࡞ۀΛͯ͠τϯϚφΛ౷Ұ͘͢͠ ͢ΔͨΊͷཻ w )5.-ͷλάʹରԠ͢Δ͜ͱ͕ଟ͍ w 5SBOTJUJPOίϯϙʔωϯτͳͲ w )࠶ར༻͘͢͢͠Δ
w ಛఆͷσʔλιʔεʹґଘ͍͚ͯ͠ͳ͍ʂ w )࠷খ୯Ґඞͣίϯϙʔωϯτݺͼग़͠ʹͳͬͯ΄͍͠
"UPNT
͓·͚ 'PVOEBUJPOT ͜͏͍͏༰$44ϓϦϓϩηοαͷ ఆʹஔ͍ͨ΄͏ָ͕ IUUQTLBSSJTBBSJOFODPNQPTUTCVJMEJOHBJSCOCEFTJHOTZTUFNΑΓ
+͔͠͠ɺஅʹ໎͏ Τοδέʔεͱͯଟ͍
ίϯϙʔωϯτ ྨج४ͷཧڷ
-σβΠφʔͱΤϯδχΞ͕ ίϯϙʔωϯτྨͷཧ༝Λ࣋ͪɺ ରΛ͢Δڥ
r#SBE'SPTU ͦͦ l#VUBUPNJDEFTJHOJTOPUSJHJEEPHNB6MUJNBUFMZ XIBUFWFS UBYPOPNZZPVDIPPTFUPXPSLXJUITIPVMEIFMQZPVBOEZPVS PSHBOJ[BUJPODPNNVOJDBUFNPSFF⒎FDUJWFMZJOPSEFSUPDSBGUBO BNB[JOH6*EFTJHOTZTUFNz l͔͠͠ɺ"UPNJD%FTJHOݫ֨ͳڭٛͰͳ͍ɻڀۃత ʹɺͲΜͳUBYPOPNZΛબ΅͏ͱɺ͋ͳͨͱ͋ͳͨͷ ৫͕ΑΓޮՌతʹɺૉΒ͍͠6*σβΠϯγεςϜΛ
࡞ΔͨΊͷίϛϡχέʔγϣϯͷॿ͚ʹͳΔɻz IUUQBUPNJDEFTJHOCSBEGSPTUDPNDIBQUFSXIBUTJOBOBNF
"MUFSOBUJWF"UPNJD%FTJHO w ࡞ΔΞϓϦέʔγϣϯνʔϜͷڥʹΑͬͯɺྨ͢Δ ཧ༝ྨ໊ͷϞνϕʔγϣϯҧ͏ɻ w ସͱͳΔྨํ๏ΛνʔϜͰ࡞Γɺڞ௨ݴޠΛ໌֬ʹ͠ ͍ͯ͘ ʮ"MUFSOBUJWF"UPNJD%FTJHOΛ͕ͯ͞͠ʯ IUUQTZPSZEFTJHOOPUFBMUFSOBUJWFBUPNJDEFTJHO
ཧڷͷྑཱྀ͍࿏Λ