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
a-code-to-rhyme
Search
Takahiro Uchiyama
May 29, 2016
Programming
760
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
a-code-to-rhyme
「韻を踏むプログラムは書けるか」
2016/5/29にTokyu Ruby Kaigi #10でLTしたものです
Takahiro Uchiyama
May 29, 2016
More Decks by Takahiro Uchiyama
See All by Takahiro Uchiyama
日々の意思決定の積み重ねを記録するアーキテクチャ・デシジョン・レコード / Architectural Decision Records
highwide
33
22k
停止性問題と数 / Halting problem and number
highwide
0
1.6k
GraphQLスキーマ設計の悩みどころ/My concerns about GraphQL schema design
highwide
0
2k
About Rails ConnectionPool
highwide
0
230
How about today's coffee?
highwide
0
520
How to choose "best of the best"
highwide
1
830
A question about private method testing
highwide
0
3.7k
A life-changing innovation for my work-style by IoT
highwide
0
700
よちがや.rb案内スライド
highwide
1
610
Other Decks in Programming
See All in Programming
Claude Codeを組織的に動かして月400PRを実現した話
happy_ryo
0
250
まだ間に合う!今年の夏こそSchemeのマクロ展開器を完全理解!
omasanori
0
620
Foundry Localでエージェント開発
seosoft
0
110
Pythonの実行はどこまで賢くなったのか? CPythonとPyPyから見る最適化のしくみ
curekoshimizu
4
2.7k
Swift愛好会100回記念 第1回を振り返る
jollyjoester
0
100
一参加者から『中の人』へ 〜全通PHPerがブースに立って学んだ、カンファレンスを100倍楽しむコツ〜
wp_daisuke
0
110
レビュー履歴をAIに食わせて、 Compose移行を加速するs
shihochan
0
260
AI駆動開発にグラフDBを重ねてみた
satoshi256kbyte
2
710
Seeing Through Serverless: Observability for AWS Lambda with ADOT and CloudWatch Application Signals
seike460
PRO
1
110
LLMは4年分のCompose移行を再現できるのか?実プロダクト279件のXMLで探る自動化の境界線
makun
0
350
業務時間外もAIに働いてもらう話
colorful12
3
9.9k
FDEとは、何者なのか?
masapyon1212
0
130
Featured
See All Featured
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
570
Joys of Absence: A Defence of Solitary Play
codingconduct
1
460
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.6k
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
310
We Are The Robots
honzajavorek
0
330
HTML-Aware ERB: The Path to Reactive Rendering @ RubyCon 2026, Rimini, Italy
marcoroth
4
560
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
370
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.8k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.9k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.6k
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
sarafernandez
0
260
Transcript
ӆΛ౿Ή ϓϩάϥϜॻ͚Δ͔ 5PLZV3VCZ,BJHJ !IJHIXJEF
XIPBNJ !IJHIXJEF 5XJUUFS(JU)VC ʮ͏ͳ͍͗͵ʹࣅ͍ͯΔ͔Βʯͱʮ͏ͳ͗ʯͱݺ ΕΔ͜ͱ͋Γ·͢ ΑͪΑͪSCͰ3VCZ͕͖ʹͳͬͨͷΛ͖͔͚ͬ ʹస৬ͯ͠ɺࠓϦϒηϯεͰ3BJMTΛॻ͍ͯ·͢ ͜ͷεϥΠυͷ5PLZV3VCZ
,BJHJͰར༻ͨ͠ͷΛɺVQ͢Δʹ͋ͨͬ ͯΘ͔Γʹ͍͘ͱ͜ΖΛิͨ͠ͷͰ͢
ࠓճͷ ςʔϚ
ӆΛ౿Ή ϓϩάϥϜॻ͚Δ͔
ॻ͚·͢
ͦΕ͕ 5PLZVͰ Γ͔ͨͬͨͭ
Ͳ͏ͯ͜͠ΜͳૉఢͳͷΛ ͜ͷλΠϛϯάͰ
ͳ͕ͥ ͜ͷςʔϚΛ Γ͔͔ͨͬͨ
ϑϦʔελΠϧμϯδϣϯʹ ද͞ΕΔϥοϓจԽͷߴ·Γ ςϨϏே)1ΑΓ
ΤϯδχΞք۾Ͱߴ·Γ ౦ژ3VCZձٞ (.0ϖύϘ ג ͞Μͷϙελʔ
ݸਓతʹߴ·Γ͗ͯ͢ ಉ྅ͷ݁ࠗࣜͷ ༨ڵϜʔϏʔͰϥοϓ͢Δ
ؾ͍ͮͨ͜ͱ
ӆΛ౿Ήͷ͍͠ Ͱָ͍͠ʂ ࠷ߴʹ͓ࣅ߹͍ͷ͓ೋਓ͔ͩΒ ϥοϓͰॕ͏ͥձࣾͷؒ ͜ͷ࣌͢Αԡͦ͏ͥγϟολʔ ͦ͏ɺԶ͕Ұ൪όολʔ ͬͨͳͩ͠ฉ͖औΕΔ͔ʁՎࢺ Ͱݴ༿͡ΌͶ͐ɺೋਓͷؒ ܨ͙ͷѪͩMJLFBpSF
͔ͩΒͦΕΛ ٕज़Ͱαϙʔτ͍ͨ͠ ͱࢥͬͨ
ͱࢥͬͨΒ࡞ͬͯͩͬͨ͘͞ํ͕
͍ɺͯΑ
ͪ͜ΒͷHFNͰ ͬͯΒͬ͠ΌΔ͜ͱ จষ ݁Ռ จষதͷ ʮަবʯͱ ʮେۀʯͰ ౿Ίͦ͏
͕Γ͍ͨ͜ͱ จ ୯ޠ ݁Ռ ͜ͷ୯ޠͱ ౿Ίͦ͏ͩΑ ϓϩάϥϜ
৽نੑ͕͋ͬͨ ͷͰ ࡞ͬͯΈ·ͨ͠
͜Μͳ ײ͡Ͱ͢ HJUIVCDPNIJHIXJEFSIZCZ ʹॻ͖ԥΓͷίʔυ ஔ͖·ͨ͠ɻ
.F$BC Έ ϦϦοΫ ΠϯσΫγϯά ݕࡧ ԻԽ ࣙॻ
.F$BC ϦϦοΫ ΠϯσΫγϯά ݕࡧ ԻԽ ࣙॻ ༧ΊʮͯͳΩʔϫʔυʯͷ୯ޠΛԻԽͯ͠ FMBTUJDTFBSDIʹJOEFYJOH͓ͯ͘͠ ϥούʔ͕ϦϦοΫϫʔυΛ3BJMTʹ͛ͨΒ.F$BCΛ ͬͯಡΈํΛௐɺԻԽ͢Δ
ԻԽ͞Εͨݴ༿ΛFMBTUJDTFBSDIʹ͛ɺඌࣈʙ ࣈ߹ͬͯΔ݁Ռ
ຯʹϋϚͬͨ͜ͱ ԻԽΉ͍ͣ Իʮʔʯ͕ग़ͯ͘ΔͱલͷԻΛ܁Γฦ͢ ʮ͋͊ʯͬͯݴ͏ͱԻʮ͋͋ʯ͕ͩɺ ʮ;͊ʯͬͯݴ͏ͱԻʮ͋ʯ ͯͳΩʔϫʔυͷࣙॻ͕&6$+1Ͱɺ3VCZͷ $47PQFOͩͱ͏·͘65'ʹΤϯίʔυͰ͖ͣɺ ͍ͬͨΜOLGͰ65'Խͨ͠
ࠓճ࡞ͬͨΞϓϦέʔγϣϯΛͬͯ 5PLZP3VCZ,BJHJͰ ࣮ࡍʹ3BQΛ࡞ͬͯΈ·ͨ͠ ˞ʮएਿͷཧʯͱ͍͏ͷ ථͰʮ-5ԦʯʹબΕͨएਿ͞Μͷ࣌ؒΛͬͯ ϥοϓͤͯ͞Β͏ల։ʹͳ͔ͬͨΒͰ͢
࠷ߴͩͬͨͥ5PLZV3VCZձٞ Զϥοϓͷࠃͷறେ ͔͜͜Β৽ͨͳ)BDLΛ։࢝ ΊΑίϛολ๊͚Αେࢤ ͠Զएਿͷཧʁ ᬏਐ͍ͯ͘͠3VCZͷੈք ࠓ͋Γ͕ͱ൧࡞ౕͬͨҒ͍ ײँ͠Α͏ɺࠓ͜͜Ͱͷग़ձ͍
None