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
How Developer Support Works
Search
Naoki Ainoya
March 11, 2017
Programming
2.7k
10
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
How Developer Support Works
「開発支援という仕事」
Battle Conference U30 登壇資料
https://battleconference-u30.connpass.com/event/49985/
Naoki Ainoya
March 11, 2017
More Decks by Naoki Ainoya
See All by Naoki Ainoya
Looker BEACON 2021 / How we implemented Scalebase Analytics with Looker
ainoya
0
2.8k
Salesforce Application Development with GitHub Actions and sfdx-cli
ainoya
1
3.9k
Scalebase Analytics powered by Looker
ainoya
0
2.6k
SPIFFE in Action
ainoya
4
1.7k
リクルートマーケティングパートナーズでのDeployGate活用事例
ainoya
2
4.5k
[RMPxQuipper meetup #3]開発のための開発~スマホアプリ向けe2eテストの検証導入事例を通じて~
ainoya
1
2.4k
How to play Scala on dockerized infrastructure
ainoya
4
3.3k
prevs.io開発の裏側とコンテナ仮想化時代のAPI運用
ainoya
4
2.5k
ビルドパイプラインツールをGoで作った話
ainoya
3
2.7k
Other Decks in Programming
See All in Programming
改善しないと、タスクが回らない。 “てんこ盛りポジション” を引き継いだ情シスの、入社3ヶ月の業務改善録
krm963
0
260
2年かけて Deno に DOMMatrix を実装した話 / How I implemented DOMMatrix in Deno over two years
petamoriken
0
210
AI時代、エンジニアはどう育つのか -未経験エンジニアの成長を間近で見て考えたこと-
thasu0123
0
220
全PRの83%がAIレビューだけでマージできるようになった開発組織はその後どうなったか
athug
1
1.5k
<title><a id="</title>君はこのHTMLをパースできるか"></a></title> #雑LT_study
pizzacat83
0
140
Go言語とトイモデルで学ぶTransformerの気持ち / fukuokago23-transformer
monochromegane
0
160
仕様駆動開発へのトライを機に チームに適合する手法を模索し続けている話
freee
PRO
0
440
Augmenting AI with the Power of Jakarta EE
ivargrimstad
0
530
Apache Hive: そしてCloud Native Lakehouseへ
okumin
1
210
アルゴリズムは何を圧縮しているのか ─ Haskell から育った「圧縮代数」というメンタルモデル
naoya
16
3.9k
琵琶湖の水は止められてもNet--HTTPのリトライは止められない / You might be able to stop the water flow of Lake Biwa but you can't stop Net::HTTP retries
luccafort
PRO
0
600
Cloudflare is Agents
chimame
0
140
Featured
See All Featured
It's Worth the Effort
3n
188
29k
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.3k
The Art of Programming - Codeland 2020
erikaheidi
57
14k
Leo the Paperboy
mayatellez
8
2.1k
Building the Perfect Custom Keyboard
takai
2
830
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
840
The Illustrated Children's Guide to Kubernetes
chrisshort
51
53k
How to train your dragon (web standard)
notwaldorf
97
6.7k
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.4k
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
1
200
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
450
The Cult of Friendly URLs
andyhume
79
7k
Transcript
։ൃࢧԉͱ͍͏ࣄ !OBPLJBJOPZB 3FDSVJU.BSLFUJOH1BSUOFSTDP MUE
w BJOPZB w dNJYJ w dOPXSFDSVJU w ΠϯϑϥͱΞϓϦ։ൃ͕ ŧŔŕŪũƄŝſΤϯδχΞ BJOPZBJP
None
γϯϓϧͳϏϧυύΠϓϥΠϯπʔϧXBMUFSΛϦϦʔε͠·ͨ͠c"EWBODFE5FDIOPMPHZ-BC IUUQBUMSFDSVJUUFDIDPKQCMPH 8BMUFSWCFUBΛϦϦʔε͠·ͨ͠c"EWBODFE5FDIOPMPHZ-BC IUUQBUMSFDSVJUUFDIDPKQCMPH
)PXUPQMBZ4DBMBPOEPDLFSJ[FEJOGSBTUSVDUVSF4QFBLFS%FDL IUUQTTQFBLFSEFDLDPNBJOPZBIPXUPQMBZTDBMBPOEPDLFSJ[FEJOGSBTUSVDUVSF
IUUQTFJHPTBQVSJKQ
ΪϦΪϦ6OEFS ͋ͱ̑ϲ݄Ͱ͍̏͞Ͱ͕͢ ͕ΜΓ·͢
ࠓ͍ͬͯΔ͜ͱ
l։ൃࢧԉz
4JUF3FMJBCJMJUZ&OHJOFFSJOH %FWFMPQFS1SPEVDUJWJUZ&OHJOFFSJOH ηΩϡϦςΟରԠ ΤϯδχΞ࠾༻ɾਓࣄɾ৫׆ੑ ࣾ*5 FUDʜ
ࢧԉର ฐࣾ։ൃ৫ͷ ෳϓϩμΫτ܈
l։ൃΛՃͤ͞ΔͨΊͷ։ൃz ͳΒ ͳΜͰΔ
ͳͥΔͷ͔ʁ
ΤϯδχΞʹ σΟʔϓɾϫʔΫ ͯ͠Β͏ͨΊ
None
େࣄͳ͜ͱʹूத͢Δ ϢʔβʹՁΛಧ͚Δ͜ͱ ͨͩҰʹूதͰ͖Δ ڥͷͨΊʹ
ϢʔβʹՁΛಧ͚ΔͨΊʹ ຊ࣭తͰͳ͍ɺෆཁͳ ίετɾ࣌ؒɾ࣌ؒΛΔ γϟϩʔϫʔΫΛۃখԽ͢Δͷ͕త
ྫ͑
ϋΠύϫʔ$*ϚγϯಋೖͰ Ϗϧυ࣌ؒॖ
Ϗϧυ࣌ؒͷ ॖ 4DBMBϓϩδΣΫτͷ ίϯύΠϧ ʴ ςετ ʴ EPDLFSJNBHFੜ ࣌ؒΛʹ
Ϗϧυ࣌ؒͷॖ ʹ ࣌ؒۚͰങ͑Δ ʢ͔͔ͨͩ̎̌ສͰ
ͱ͍͑ɺ ͓ۚͷແବݣ͍
ྫ͑ɺ2"
Ͱςελʔ͞ΜΛूΊͯ ࿑ಇूతʹςετ
େྔͷςετ߲Λ ख࡞ۀͰ࣮ࢪ ϦϦʔε·ͰӋ٧·͍ͬͯΔͱ͋Γ͕ͪ
ఆٛʹैͬͯػցతʹ ͜ͳͤΔͷ ࣗಈԽ͢Δ͖
ςελʔ͞Μʹ ਓؒͰͳ͍ͱൃݟ͕ ͍͠όάΛ୳͢͜ͱʹ ूதͯ͠΄͍͠
εϚϗΞϓϦͷςετ ࣗಈԽج൫ͷಋೖ
0QFO45'ͷ ಋೖ ݕূͷςετϑΝʔϜߏங αΠόʔ͞Μ͓ੈʹͳͬͯ·͢
0QFO45'ͷ ಋೖ ϦϞʔτϫʔΫ࣌ ݕূར༻͕༰қʹ
"QQJVNʹΑΔ ࣮ػFFςετ ݕূɾಋೖ 0QFO45'4BVDFMBCTΛ ςετϑΝʔϜͱͯ͠ ࣗಈԽج൫Λߏங <3.1Y2VJQQFSNFFUVQ>։ൃͷͨΊͷ։ൃdεϚϗΞϓϦ͚FFςετͷݕূಋೖࣄྫΛ௨ͯ͡d4QFBLFS%FDL IUUQTTQFBLFSEFDLDPNBJOPZBSNQYRVJQQFSNFFUVQOVNCFSLBJGBGBMTFUBNFGBMTFLBJGBTVNBIPBQVSJYJBOHLFFFUFTVUPGBMTFKJBO[IFOHEBPSVTIJMJXPUPOH[JUF
"QQJVNʹΑΔ ࣮ػFFςετ ςετ࣮ߦͷΈΛ ͑ͨ <3.1Y2VJQQFSNFFUVQ>։ൃͷͨΊͷ։ൃdεϚϗΞϓϦ͚FFςετͷݕূಋೖࣄྫΛ௨ͯ͡d4QFBLFS%FDL IUUQTTQFBLFSEFDLDPNBJOPZBSNQYRVJQQFSNFFUVQOVNCFSLBJGBGBMTFUBNFGBMTFLBJGBTVNBIPBQVSJYJBOHLFFFUFTVUPGBMTFKJBO[IFOHEBPSVTIJMJXPUPOH[JUF
"QQJVNʹΑΔ ࣮ػFFςετ $IBMMFOHJOHͳ औΓΈ Perceptual diffsʹΑΔσάϨͷݕग़ڧԽ https://github.com/uber/image-diff <3.1Y2VJQQFSNFFUVQ>։ൃͷͨΊͷ։ൃdεϚϗΞϓϦ͚FFςετͷݕূಋೖࣄྫΛ௨ͯ͡d4QFBLFS%FDL IUUQTTQFBLFSEFDLDPNBJOPZBSNQYRVJQQFSNFFUVQOVNCFSLBJGBGBMTFUBNFGBMTFLBJGBTVNBIPBQVSJYJBOHLFFFUFTVUPGBMTFKJBO[IFOHEBPSVTIJMJXPUPOH[JUF
ࣗಈԽʹΑΔݮ ͚ͩͰͳ͘ʜ
2"σΟϨΫγϣϯͷ ෛՙݮ σΟϨΫλʔͷ γϟϩʔϫʔΫݮ
σΟϨΫλʔҎ֎ʹʜ ΤϯδχΞ୲֎ͷࣄ γϟϩʔϫʔΫͩΒ͚
ྫ͑ ϚʔέςΟϯά୲ σʔλूܭۀ
ڪΔ͖ ਓྗεΫϨΠ ϐϯά ച্ूܭγεςϜ σʔλग़ྗ"1* σʔλμϯϓػೳ͕ͳ͔ͬͨ ػೳՃͷॲͨͨͳ͍ ˣ ଞࣾཧԼͷച্ूܭը໘Λ
̍ϖʔδͣͭΊͬͯ͘ &YDFMʹసࣸʜ
4DSBQZʹΑΔ ͓खܰ εΫϨΠϐϯά ਓखͰ࣮ݱෆՄೳͩͬͨ සͰͷച্ܭଌ͕ Ͱ͖ΔΑ͏ʹ
4DSBQZʹΑΔ ͓खܰ εΫϨΠϐϯά 4DSBQZΫϩʔϥ͚ ϑϨʔϜϫʔΫ ेߦॻ͚ͦͦ͜͜ಈ͘ Ϋϩʔϥ͕ͭ͘ΕΔ ͓͢͢Ί http://asheesh.org/pub/scrapy-talk/#1
ϧʔνϯϫʔΫ ଞʹ·ͩ·ͩͨ͘͞Μ͋Δ
ձٞࣨ༧
શࣾඪ४ͷձٞࣨ༧γεςϜ ͋ΒΏΔ*5Ϧςϥγɾۀܗଶͷશࣾһ ສਓن ͕ ͑͘͠Δ͘࡞ΒΕͨݹͷγεςϜ
ՄೳͳݶΓ͍͘͢ ม͑Δ͜ͱ͕͍͠ͷΛ ͕ࣗͨͪม͑ΒΕΔൣғͰม͍͑ͯ͘ ձٞࣨ༧ΞϓϦΛ ձٞࣨલʹઃஔ 4MBDLJOUFHSBUJPO
ଞʹ͍Ζ͍Ζ ίπίπࣗಈԽ
w ϝʔϧͰ͔͠ల։͞Εͳ͍ใڞ༗ɻΤϯδχΞ औΓ͜΅͢ 4MBDLʹྲྀ͢Έ࣮ .JDSPTPGUqPXΛར༻ w QSJWBUFͳTMBDLDIBOOFMͷQVCMJDԽ DIBOOFMͷΞʔΧΠϒɾϦωʔϜͱ৽ن࡞Λ ߦ͏CPU࣮
w ۀπʔϧ܈ͷΞΧϯτਃɾཧ (PPHMF'PSN 4MBDLͰDIBUPQTͳ͍ग़͠
γϟϩʔϫʔΫΤϯδχΞ͔Β ݟ͑ͳ͍ͱ͜Ζʹ ࢁ΄Ͳ͋Δ
ίετͱ࣌ؒ ͪΓͭࣜʹ૿͑ͯ ϦϦʔεΛͤ͘͞Δ
–Tom DeMarco, দݪ ༑༁ ʮϐʔϓϧΣΞʯ lձࣾͷϧʔνϯϫʔΫɺबۀ࣌ؒʹݟ߹͏ͱ ͜Ζ·Ͱு͢Δ͕͋Δz
ΤϯδχΞྲྀͷղܾ๏Ͱ γϟϩʔϫʔΫΛ ௵͍͖ͯ͠·͠ΐ͏
(4ͷهࣄ IUUQTXXXUFDIOPMPHZSFWJFXKQTBTHPMENBOFNCSBDFTBVUPNBUJPOFWFOUIFNBTUFSTPGUIFVOJWFSTFBSFUISFBUFOFE
–Joel Spolsky ੨ ༃༁ ʮMore Joel on Softwareʯ l͝Έ͋Δͱ͜Ζʹۚ͋Δz
–Eric Sink, ੨ ༃༁ ʮֵ৽తιϑτΣΞاۀͷ࡞Γํʯ lιϑτΣΞ։ൃऀձࣾͷதͰ͕ࣗ࠷ॏཁͳਓؒͩͱࢥ͍ ࠐΉ͕͋Δɻ͍͋ʹ͘ͱ͜ͷଚେ͞ʹ͍ͬΜͷਅ࣮͕͋Γɺ ։ൃऀ͕ଞͷਓͨͪͱ͏·͘ંΓ߹͏ͷΛ͍ͯ͘͠͠ΔɻͦΕͰ ࢲͷओுมΘΒͳ͍ɻ։ൃऀͷεΩϧίʔσΟϯάҎ֎ͷ͞ ·͟·ͳλεΫʹద༻Մೳͳͷͩɻ
ɾΧελϚαʔϏε୲ͱͯ͠ɺͷΈΛཧղ͍ͯ͠Δ ։ൃऀΛΑΓૣ͘ݟ͚ͭΔ͜ͱ͕Ͱ͖Δ ɾηʔϧεΨΠͱͯ͠ɺͷΈΛཧղ͍ͯ͠Δ։ൃऀ ͦΕͰԿ͕Ͱ͖Δͷ͔ͱ͍͏࣭ʹ༰қʹ͑Δ͜ͱ͕Ͱ͖Δɻ ɾϚʔέςΟϯά୲ͱͯ͠ɺ։ൃऀϚʔέοτઓུʹӨڹ͢Δ ٕज़తͳબ͕͔͔ΘΔܾஅʹཱͭ͜ͱ͕Ͱ͖Δɻ اۀ։ൃऀ͕ιϑτΣΞߏஙҎ֎ͷ׆ಈʹ͔͔ΘΔ͜ͱΛ ڪΕΔ͖Ͱͳ͍ɻz