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
Being an Open Source Developer, at work
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Urabe Shyouhei
October 26, 2016
Technology
11
6.8k
Being an Open Source Developer, at work
Money Forward Meetup #6
Urabe Shyouhei
October 26, 2016
Tweet
Share
More Decks by Urabe Shyouhei
See All by Urabe Shyouhei
On sending methods
shyouhei
0
690
The send-pop optimisation
shyouhei
2
7k
Ruby 2.5 What's New
shyouhei
0
1.3k
Glitching Ruby Script
shyouhei
2
840
Optimizing Ruby
shyouhei
7
2.6k
Ruby and its evaluation
shyouhei
10
3.1k
Deeper look at RFC7159 the JSON
shyouhei
4
1.7k
What's New in Ruby 2.0
shyouhei
71
25k
Other Decks in Technology
See All in Technology
AIエージェントに必要なのはデータではなく文脈だった/ai-agent-context-graph-mybest
jonnojun
1
660
Goで実現する堅牢なアーキテクチャ:DDD、gRPC-connect、そしてAI協調開発の実践
fujidomoe
3
380
SchooでVue.js/Nuxtを技術選定している理由
yamanoku
4
7.9k
Oracle Cloud Infrastructureデータベース・クラウド:各バージョンのサポート期間
oracle4engineer
PRO
57
47k
SREチームをどう作り、どう育てるか ― Findy横断SREのマネジメント
rvirus0817
0
510
今、求められるデータエンジニア
waiwai2111
2
1.1k
使って学ぼう MCP (と GitHub Codespaces)
tsubakimoto_s
1
190
判断は人、準備はAI - チケット管理で見えた仕事の境界
yusukeshimizu
3
130
フルスタックGoでスコア改ざんを防いだ話
ponyo877
0
470
生成AI素人でも玄人でもない私がセイセイAIチョットワカルために勉強したこと
wkm2
2
290
サイボウズ 開発本部採用ピッチ / Cybozu Engineer Recruit
cybozuinsideout
PRO
10
74k
個人的3D Gaussian Splattingニュースをご紹介 / sharing 3d gaussian splatting news
drumath2237
0
250
Featured
See All Featured
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
How to train your dragon (web standard)
notwaldorf
97
6.5k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
199
72k
How STYLIGHT went responsive
nonsquared
100
6k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.8k
Context Engineering - Making Every Token Count
addyosmani
9
680
DevOps and Value Stream Thinking: Enabling flow, efficiency and business value
helenjbeal
1
130
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
65
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
110
Color Theory Basics | Prateek | Gurzu
gurzu
0
210
Designing for Timeless Needs
cassininazir
0
140
Building AI with AI
inesmontani
PRO
1
730
Transcript
Φʔϓϯιʔε։ൃऀ ͱͯ͠ಇ͘ͱ͍͏͜ͱ ෦ণฏ ։ൃਪਐຊ෦ٕज़෦
http://corp.moneyforward.com/aboutus/20160217-mf-shyouhei/
࠷ۙࢥ͏ ͷͰ͕͢
ͳͥࣗʹڅྉ ͕ৼΓࠐ·ΕΔ ͷ͔ɺཧ༝͕Α ͘Θ͔Βͳ͍ɻ
ʮΦʔϓϯιʔε։ൃऀʯ
w ʮΦʔϓϯιʔεʯ ͋·ΓͦΕ͕͔ࣗΔͱ͔ ͦ͏͍͏Ͱͳ͍ɻ w ʮ։ൃऀʯ ͋·ΓͦΕ͕͔ࣗΔͱ͔ ͦ͏͍͏Ͱͳ͍ɻ
ͳΜͩ͜Ε
Φʔϓϯιʔε w ʮιʔε͕Φʔϓϯͳ͜ͱʯͰͳ͍ɻ ㅟ ㅟ w ৄࡉʮ0QFO 4PVSDF *OJUJBUJWFʯ ʮ0QFO
4PVSDF %FpOJUJPOʯͰݕࡧͨ͠ Γɺ8JLJQFEJBΛಡΜͩΓ͢ΔͱΘ͔Δ w ൷͋Δɻ
https://opensource.org/osd-annotated
http://www.shenlanguage.org/Download/osnbm.pdf
l0QFO4PVSDFJT/PUB#VTJOFTT.PEFMz w ۀతʹޭͨ͠ϕϯμʔΛͭͿ͞ʹ ؍͢ΔͱɺΦʔϓϯιʔεʹ͍ͯ͠ ͳ͍෦ʹڝ૪ྗͷݯઘ͕ൃݟͰ͖Δ ͱ͍͏Ϩϙʔτɻ w ʮͤͳʯͱ͍͏ΑΓଞʹͳ͍ɻ
ʮΦʔϓϯιʔε։ൃऀʯ
શͳ ίετηϯλʔ
https://speakerdeck.com/gfx/ossnikontoribiyuto-nantesiteruchang-he-ziyanai
͜ͷεϥΠυλΠτϧٗͳͷ ͰதΛΑ͘ಡΉ͜ͱΛਪ
͡Ό͋ Ͳ͏͢Δͷ͔
෦ͷ߹ w ͍ʹͯ͠ɺࣾۀͰΦʔϓϯιʔειϑτΤΞ Λ׆༻͍ͯ͠ΔͷͰձࣾͷཧղ͕͋Δɻ w ΦʔϓϯιʔειϑτΤΞΛ։ൃ͢Δ͜ͱͰί ϛϡχςΟʹؐݩ͢Δͷ͕ϛογϣϯɻ w όοΫΦϑΟεܥۀͱࣅ͍ͯΔͱ͍͑ࣅ͍ͯ Δɻ࠾༻ใͱ͔ɻ
ӡ͕ྑ͔ͬͨ Ҏ֎ͷઆ໌͕ ࢥ͍͔ͭͳ͍
ͰͦΕͩͱ ͋Μ·ΓͳͷͰ
Φʔϓϯιʔε ։ൃऀͱͯ͠ ಇ͘ͱ͍͏͜ͱ Howto
ᶃίϛοτ͠Α͏
Φʔϓϯιʔε։ൃΛࣄʹ͢ΔҎલ ʹ·ͣΦʔϓϯιʔε։ൃʹࢀՃ͢ ͖Ͱ͢ɻޏ༻͞Ε͔ͯΒ։ൃ͠·͢ɺ ͷॱংͰͳ͔ͳ͔͕ਐ·ͳ͍ɻ Φʔϓϯιʔε։ൃऀͱͯ͠ಇ͖͚ͨ Εɺ·ͣΦʔϓϯιʔε։ൃऀʹ ͳΔ͜ͱ͔Β࢝ΊΔͱྑ͍Ͱ͠ΐ͏ɻ
ͱ͍͏ͷͷ
https://github.com/shyouhei
͜͜Ͱస৬ ͋Μ·සมΘͬͯͳ͍Ͷ https://github.com/shyouhei
ϓϩάϥϛϯά ͚͕ͩߩݙͰͳ͍
w όάτϦΞʔδ w υΩϡϝϯτνϡʔτϦΞϧ w ϦϦʔεΤϯδχΞϦϯά w ϑΝγϦςʔγϣϯ w FUDʜ
2స৬ͯ͠Կ͕Ұ൪มΘΓ·͔ͨ͠ "ϓϩάϥϜॻ࣌ؒ͘͡Όͳ͍͕࣌ؒऔ ㅟ ㅟ ㅟ ㅟ ΕΔΑ͏ʹͳΓ·ͨ͠ɻ
ᶄൃද͠Α͏
ʑͱखΛಈ͔͢͜ͱຊ ʹଚ͍ͱࢥ͍·͢ɻ͕ɺ ͔ͱ͍ͬͯΞϐʔϧͳ͠ ʹউखʹࣄଶ͕స͢Δ͜ ͱߟ͑ͮΒ͍ͷ͔֬ɻ
ൃද͠Α͏ w ϓϧϦΫΤετ w ษڧձ w ࡶࢽهࣄॻ੶
https://github.com/ruby/ruby/pull/1419
https://speakerdeck.com/shyouhei
http://gihyo.jp/magazine/wdpress/archive/2013/vol77
ηϧϑϒϥϯσΟϯά ࣌ʹඞཁ
ᶅࣄΛ Φʔϓϯʹ͢Δ
ݱࡏɺ࣮ࡍɺϑϧλΠ ϜͰΦʔϓϯιʔεͰ͖Δ ϙδγϣϯͷืूେมগ ͳ͍Ͱ͢ɻͳͷͰɺͳ͍ ͷɺ࡞Δ͔͠ͳ͍ɻ
w ࣗࣾΛ Ұ෦ Φʔϓϯιʔεʹ w ൃల OFXSFMJDIFSPLVΈ͍ͨʹ ސ٬ʹΔͭΛΦʔϓϯιʔε Ͱެ։ɻ w
ϓϦϯλυϥΠό։ൃͱ͔͜ͷ ܥේͰઆ໌Ͱ͖Δͱࢥ͏ɻ
w Φʔϓϯιʔεج൫։ൃʹߩݙ w ϛυϧΤΞɺϥΠϒϥϦɺ04 w ฐࣾͷ߹3VCZʹߩݙ w ͞Βʹൃల͢Δͱۀքඪ४ԽͳͲ
w ΦʔϓϯιʔεͳϓϩμΫτͰɺͲ ͏ʹ͔͚ͯ͠Δ w Ͳ͏ʹ͔ͯ͠ʜ w ૂͬͯޭͰ͖Δͷͳͷ͔Α͘ Θ͔Βͳ͍Ͱ͢ɻ
·ͱΊ
w ෦ӡ͕ྑ͔ͬͨͷ͓͓͏͘ͳ͍ ࣄ࣮Ͱ͋Δɻ ͱ͍͑ɺ w Φʔϓϯιʔε։ൃऀͱͯ͠ಇ͘ͷʹඞཁͳ ͜ͱͦ͜·ͰҟৗͳεΩϧͱ͔Ͱͳ͍ɻ w Φʔϓϯιʔε։ൃऀͱͯ͠ಇ͚Δػձ૿ ͑ͯཉ͍͠ɻ
͓ΘΓ