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
Rails Developers Meetup
Search
AKAMATSU Yuki
November 16, 2017
Technology
3.7k
6
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Rails Developers Meetup
AKAMATSU Yuki
November 16, 2017
More Decks by AKAMATSU Yuki
See All by AKAMATSU Yuki
今年できたチームの生産性を向上させたプラクティスの紹介 / Kaigi on Rails 2022
ukstudio
4
5.1k
Cookpad Tech Kitchen #24
ukstudio
0
800
Cookpad Summer Internship 2019 Day 1 Git
ukstudio
0
10k
Cookpad Summer Internship 2019 Day 1 Ruby TypeScript
ukstudio
0
10k
sdevtalks.org開発報告 / reporting that sdevtalks.org was launched
ukstudio
0
390
GraphQL on Rails
ukstudio
1
480
「なんでも」をしよう / 2018-12-19 s-dev talks LT
ukstudio
2
580
Rails Developers Meetup 2018 Extreme
ukstudio
0
3.6k
機能追加時における 仮説検証/s-dev-talks-01
ukstudio
0
1k
Other Decks in Technology
See All in Technology
発表と総括 / Presentations and Summary
ks91
PRO
0
190
AIツールを導入しても生産性はあがらない? カオナビが直面した 3つの壁と乗り越え方。/ Overcoming 3 Barriers to AI-Driven Productivity at kaonavi
kaonavi
0
170
20260720_クラウド女子会×PyLadiesTokyoコラボ Amazon Bedrock ハンズオン用資料
yuuka51
1
110
AIエージェントがあれば技術書なんてすぐ書けるでしょ→無理でした
watany
2
260
クラウドを使う側から、作る側へ / 大吉祥寺.pm 2026前夜祭
fujiwara3
5
1.2k
[Droidcon Orlando '26] The Android Lens: Applying Mobile Forensics to AI Performance
amanda_hinchman
1
110
AIが当たり前の組織で エンジニアはどう育つか
nishihira
1
970
reFACToring
moznion
0
190
伝票作成AIエージェントを支える、LLMOpsとインフラの選択肢 / AICon2026_takeda
rakus_dev
0
260
AI Native なプロダクト組織の立ち上げ方 : 生産性 100 倍への挑戦
mikesorae
0
1.3k
第67回コンピュータビジョン勉強会CVPR2026読会前編
tsukamotokenji
0
160
「休む」重要さ
smt7174
6
1.6k
Featured
See All Featured
ラッコキーワード サービス紹介資料
rakko
1
4M
First, design no harm
axbom
PRO
2
1.2k
Why Your Marketing Sucks and What You Can Do About It - Sophie Logan
marketingsoph
0
310
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.7k
Building a Scalable Design System with Sketch
lauravandoore
463
34k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
390
Scaling GitHub
holman
464
140k
Documentation Writing (for coders)
carmenintech
77
5.4k
Ethics towards AI in product and experience design
skipperchong
2
330
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
330
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.4k
Transcript
3BJMTͰ&$αʔϏεΛ θϩ͔Β࡞ͬͯΈͯ גࣜձࣾTQJDFMJGF $5045&&34ϓϩμΫτϚωʔδϟʔদ༞ر
45&&34ʹ͍ͭͯ w ΦϦδφϧ5γϟπൢചαʔϏε w ը૾ΞοϓϩʔυαʔϏε্ͷσβΠϯΤσΟλͰ5γϟπ ΛσβΠϯɾൢച w ઃఆͨ͠ൢചՁ֨ʹԠͯ͡จ͝ͱʹऩӹ͕ൃੜ
45&&34ʹ͍ͭͯ w ΦϦδφϧ5γϟπൢചαʔϏε w ը૾ΞοϓϩʔυαʔϏε্ͷσβΠϯΤσΟλͰ5γϟπ ΛσβΠϯɾൢച w ઃఆͨ͠ൢചՁ֨ʹԠͯ͡จ͝ͱʹऩӹ͕ൃੜ
νʔϜߏ w ϓϩμΫτϚωʔδϟʔ݉ΞϓϦέʔγϣϯΤϯδχΞ w Πϯϑϥ݉ΞϓϦέʔγϣϯΤϯδχΞ w σβΠφ
1E.ͱ։ൃऀ͕ಉҰਓͰ͋ΔϝϦοτ w ҙࢥૄ௨ͷίετ͕େ෯ݮ w Ϗδωεͱ։ൃͱͰೝࣝͷҧ͍ͱ͍͏ͷ͕جຊతʹൃੜ͠ͳ ͍
ೝࣝҧ͍ͷൃੜͱ w ྫ͑ w ϏδωεଆͷࢥʮͱΓ͋͑ͣ.71ͱͯ͠ϦϦʔεͯ͠ػೳͱͯ͠ඞཁ͔֬ ೝ͍ͨ͠ʯ w ։ൃଆͷࢥʮͱ͘ʹԿݴΘΕͯͳ͍͠ɺ࡞ΓࠐΜͰ͠·͍͍ͬͯΜͩΖ ͏ʯ w
Ϗδωεͱ։ൃͷརͷෆҰகͱ͔͋Δ w Ϗδωεച্ϦϦʔεεϐʔυΛؾʹ͢Δ͕ɺ։ൃଆকདྷతʹࣗୡ ͕ۤ࿑͠ͳ͍͔Ͳ͏͔Λؾʹ͢Δ w ։ൃʮԾઆݕূ͕͏·͍ͬͨ͘Β࡞Γͳ͓࣌ؒ͢Λ࡞Δ͘ΕΔͱݴ͚ͬͨͲ ͍ͭ͘Εͳ͍Μ͚ʜʯ w ҆શࡦͰෛ࠴Λ࡞Γ͜·ͳ͍ํΛͱΓ͕ͪ
ಉҰਓͷ߹ w ෛ࠴ΛੵΉͱͯ͠ͲΕ͙Β͍ۤ࿑ͦ͠͏͔ɺϏδωεతʹ ࠓޙͲ͏͍ͨ͠ͷ͔͕ࣗΘ͔͍ͬͯΔͷͰஅ͕ϥΫ w ۤ࿑͢ΔͷࣗͳͷͰɺͦ͜ΒΜʹର͢Δؾෛ͍͋· Γͳ͍
ͱ͍͑ʜ w ΓϢʔβʔͷߦಈ͕ࣗͱఆ͠ͳ͍ͷͩͬͨΓ͢Δ ͷͰɺ༧ఆ֎ͷ༷มߋ͕ൃੜ͢Δ w 45&&34ͷ߹ɺ࠷ॳγϯϓϧʹճͷจͰͻͱͭͷαΠ ζ͔͠ങ͑ͳ͔ͬͨ w ࣗͷΛങ͏ʹࣗͷαΠζ͚ͩങ͑ΕΑ͍ͱࢥͬ ͨ
w ͚ͩͲఆ֎ʹෳαΠζΛങ͍͍ͨਓ͕ଟ͔ͬͨ w ͳΔ΄ͲͶ͍ͬͯ͏͜ͱͰ%#ͷߏΛม͑ͯෳαΠζߪೖ ͷϦϦʔεΛߦͬͨ
ͭ·Γʜ w ߟ͑Δਓͱ࡞Δਓ͕ಉ͡ͰϢʔβʔ͕͍ΔҎ্ͯ͢εϜʔ ζʹߦ͘Θ͚Ͱͳ͍ w ࣗͻͱΓͩͱͦ͜ΒΜͷ༷มߋͷཧ༝ͱ͔ٕज़తͳΉͣ ͔͠͞Θ͔ΔͷͰೲಘײ͕͋Δ w ෳਓͷ߹ɺཧ༝͕։ൃʹΘΒ༷ͣมߋͷࢦ͚ࣔͩΘ Δͱඃऀతͳؾ࣋ͪʹͳΓ͕ͪ
w ͦ͜ΒΜͷίϛϡχέʔγϣϯ͕͏·͍͔͘ͳ͍ͱۭؾΘ Δ͘ͳΓ͕ͪ w ͜ͷลΓʹରͯࣗ͠ಛʹ͑Λ͍࣋ͬͯΔΘ͚Ͱͳ͍ ͚Ͳɺҙ͓ࣝͯ͘͠ͱΑͦ͞͏
3BJMTͷ w 3BJMT%FWFMPQFST.FFUVQͳͷͰ։ൃଆͷΛ w ͋·ΓίΞٕज़తͳ͕͋ΔΘ͚Ͱͳ͍ͷͰτϐοΫগ ͠ࢄؾຯʹͳΔ͔ w ಛผͳʹ͔͍͜͠ͱΛ͍ͯ͠ΔΘ͚͡Όͳ͍ͷͰɺ͋Δҙ ຯۙͳʹͳΔͱࢥ͏
։ൃʹ͓͍ͯߟ͍͑ͯͨ͜ͱ w ࣭ͱεϐʔυͷόϥϯεΛऔΓ͍ͨͱߟ͍͑ͯͨ w εϐʔυॏࢹ͗ͣ͢͠ɺ ࣗʹͱͬͯ ͋ͨΓ·͑ͷ͜ͱ ͋ͨΓ·͑ʹͪΌΜͱΔ w ػೳݸผͷઃܭ͋Δఔͬ͘͟ΓͰ0,ɻ࣍ΠδΔػձ͕
͋Εͦͷ࣌ʹ͢ w ٯʹશମͷઃܭํͳΔ͘ߟ͓͖͔͑ͯͨͬͨ
σʔλϕʔεઃܭ w ͪΌΜͱਖ਼نԽͱ֎෦ΩʔΛΔ w σʔλϕʔεͱσʔλͷෛ࠴ղফ͢Δͷ͕େมͳͷͰ࠷ ݶ͜Ε͙Β͍Δ w ͍Βͳ͍ςʔϒϧΓ͍ͨ͜ͱͱ߹Θͳ͍ઃܭʹͳͬͨΒ ͪΌΜͱ͢ w
ΞΫηε͕ଟ͘ͳ͚Εมߋʹରͯͦ͜͠·ͰγϏΞʹ ͳΔ͜ͱͳ͍ w ͦΕΑΓΑ͘Θ͔ΒΜઃܭͷςʔϒϧ͢ํ͕ࠔΔ
σʔλϕʔεͷ7JFX w ਖ਼نԽ͍ͯ͘͠ͱ/ ͷղফ+0*/ͷ͕ଟͯ͘3BJMT্ͷίʔ υͷݟ௨͕͠ΘΔ͘ͳΔ͜ͱ͕͋Δ w ͦͷͱ͖7JFXΛ༻ҙͯ͠ରॲ͢Δ w IUUQTHJUIVCDPNUIPVHIUCPUTDFOJD w
7JFXΛଟஈʹ͢Δͱ͋Δ7JFXͷߏΛม͍͑ͨͱ͖ʹ໘ʹͳ ΔͷͰҙ w ࣅͨཧ༝ͰΧϥϜՃ࣌ʹ͜·ΔͷͰ7JFXʹ࠷ݶͷΧϥϜ Λࢦఆ͢Δ΄͏͕Α͍ w ΞϓϦଆͱ%#ଆʹϩδοΫ͕͔ΕΔͷͪΐͬͱΈͲ͜Ζ
ϚΠάϨʔγϣϯ w εΩʔϚͷมߋͱσʔλͷೖͷཧΛΘ͚ΔΑ͏ʹͨ͠ w σʔλೖIUUQTHJUIVCDPNIBSSZTUFDI TFFE@NJHSBUJPOͰ w εΩʔϚͷมߋʹIUUQTHJUIVCDPNBOLBOF TUSPOH@NJHSBUJPOTΛೖΕͯΈͨ w
ةݥͳ%#มߋʹରͯ͠ܯࠂΛग़͢ w ৭ʑษڧʹͳ͚ͬͨͲɺࠓճෆཁ͔ͩͬͨͳͱࢥ͏
αʔϏεϨΠϠ w αʔϏεϨΠϠѱ͘ͳ͍͕ɺಋೖॳͷαʔϏεϨΠϠʹ ର͢ΔෆษڧͰඍົͳײ͡ʹ w "3ͷΠϯελϯεΛෳ͏Α͏ͳॲཧαʔϏεϨΠ ϠΈ͍ͨʹͯͨ͠
ߪೖॲཧ·ΘΓΛαʔϏεΫϥεʹ w ߪೖॲཧΔ͜ͱ͕ͨ͘͞Μ w ΫϨΧͷܾࡁॲཧɺจใͷӬଓԽɺϢʔβʔͷϝʔϧ ௨ͳͲͳͲʜ w ѻ͏Ϟσϧ͕ଟ͍͠ɺΔ͜ͱଟ͍ͷͰɺͦΕΛ·Δͬͱ αʔϏεΫϥε w
ॳίʔυ͕खଓ͖తʹࣗવͱͳΔͷͰͦΕͦΕͰϝϦο τ͕͋ͬͨ w ίʔυΛ࠶ར༻͢Δͱͳͬͨͱ͖ʹ͍·Θ͕͠Ͱ͖ͣʹࠔ ΔΊʹʜ
Ͳ͏͢ΕΑ͔ͬͨͷ͔ w αʔϏεϨΠϠग़དྷΔݶΓബ͘͢Δ w ͦ͏͢Δͱ3BJMTͷ߹ɺίϯτϩʔϥʔʹॻ͚͍͍ͬ ͍ͯ͏ͷଟʑ͋Δ w υϝΠϯϞσϧͷઃܭྗΛ͑Δ
ϑΥʔϜΫϥε w ਖ਼نԽ͢Δͱେମʹ͓͍ͯϑΥʔϜͱϞσϧ͕ʹͳΒͳ͍ w ϑΥʔϜ͝ͱʹϑΥʔϜΫϥεΛ࡞Δͷ͕݁ہϥΫ w ࣮IUUQUFDINFEQFFSDPKQFOUSZ Λࢀߟʹ͢Εେମ0,
όϦσʔγϣϯΛͲ͜Ͱߦ͏͔ w ͋ͱ͔ΒϑΥʔϜΫϥεΛಋೖͨ͠ͷͰॳϞσϧʹόϦ σʔγϣϯ͕͋ͬͨ w ϑΥʔϜΫϥεͷόϦσʔγϣϯΛϞσϧͷΠϯελϯ εʹͯ͠ϞσϧͰߦ͏
class Form def sync @model_a = ModelA.new(foo: @foo, bar: @bar)
@model_b = ModelB.new(hoge: @hoge) end def valid? sync @model_a.valid? && @model_b.valid? end end όϦσʔγϣϯΛͲ͜Ͱߦ͏͔
ϑΥʔϜΫϥεʹॻ͘ํʹγϑτ w ਓগͳ͍ͷͰϞσϧݺΜͰόϦσʔγϣϯ͞ΕͣࣄނΔ ͱ͍͏ͷগͳ͍ w ϑΥʔϜ࣮͢Δͱ͖ʹϑΥʔϜ୯ҐͰόϦσʔγϣϯߟ͑Δํ ͕ͳΜ͔ϥΫ w ϞσϧͰόϦσʔγϣϯ͢ΔͱࠔΔέʔε͋Δ w
ಛఆΧϥϜଞͷΧϥϜಉ࢜ͷܭࢉʹΑͬͯຒΊΒΕΔ߹ w όϦσʔγϣϯ࣌ʹܭࢉ͢ΔίετΛࢧ͏ඞཁ͕͋Δ w ·ͨϑΥʔϜͷΛόϦσʔγϣϯ͍ͨ͠ͷͰϑΥʔϜͰͦ ͜Λ͋·Γؾʹͨ͘͠ͳ͍
class Form def sync @model = ModelA.new(foo: @foo, bar: @bar)
end def valid? @model.valid? # hogeΛೖΕͯͳ͍ͷͰvalidʹͳΒͳ͍ end def save! hoge = (@foo + @bar) * rate @model.hoge = hoge @model.save! end end
ϑΥʔϜΫϥεʹॻ͘ํʹγϑτ w ͱ͍͑ΓϞσϧʹόϦσʔγϣϯ͕ͳ͍ͷʜ w ͋ͱࣅͨΑ͏ͳϑΥʔϜͰࣅͨΑ͏ͳόϦσʔγϣϯΛॻ͘ ͜ͱଟʑ w όϦσʔγϣϯΛ͍͍ײ͡ʹ·ͱΊͨϞδϡʔϧΛ࡞Δͱ Α͍ͷ͔ͳʜ
·ͱΊ w ϓϩμΫτϚωʔδϟʔͱ։ൃऀͷҙࢥૄ௨େࣄͩΑ w ͏ͪͷ߹݉Ͱͦ͜εΩοϓ͚ͨ͠Ͳɺݱ࣮ͦΕΛଓ ͚͍ͯ͘ͷͳ͔ͳ͔͍͠ w 3BJMT։ൃʹ͓͍ͯେ·͔ͳݪଇΛक͍ͬͯ͘ͷ͕جຊ w ݪଇʹ͍ͭͯษڧ͠Α͏
w ҙਤతʹखΛൈ͘ͱ͔Ͱͳ͍ݶΓɺ্ݶ͕ࣗͷ࣮ྗͰܾ·Δ w ͱݴ࣮͑Ϩϕϧͩͱܾ·Γख͕ͳ͍͜ͱଟ͍ w ͦͷลͷࢼߦࡨޡڪΕͳ͍