Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Vapor cloud + Codegen

Sponsored · Ship Features Fearlessly Turn features on and off without deploys. Used by thousands of Ruby developers. →
Avatar for Yuya Hirayama Yuya Hirayama
February 06, 2018
Technology
0
100

Vapor cloud + Codegen

Avatar for Yuya Hirayama

Yuya Hirayama

February 06, 2018
Tweet

More Decks by Yuya Hirayama

See All by Yuya Hirayama
VRTと真面目に向き合う
Avatar for Yuya Hirayama hiragram
1
540
Claudeをクラウド型エージェントのように使う
Avatar for Yuya Hirayama hiragram
0
220
わいわいClaude Code アイスブレイクLT iOSDC2025 Day2 アンカンファレンス
Avatar for Yuya Hirayama hiragram
0
160
LLMエージェント時代に適応した開発フロー
Avatar for Yuya Hirayama hiragram
2
780
Deep Dive into ~/.claude/projects
Avatar for Yuya Hirayama hiragram
14
25k
iOSアプリ開発もLLMで自動運転する
Avatar for Yuya Hirayama hiragram
7
2.9k
iOSアプリの定期リリースとその自動化@potatotips#90
Avatar for Yuya Hirayama hiragram
1
490
Xcode Cloud事例紹介
Avatar for Yuya Hirayama hiragram
1
530
iOSアプリを安全にローカライズする
Avatar for Yuya Hirayama hiragram
1
490

Other Decks in Technology

See All in Technology
GCASアップデート（202510-202601）
Avatar for 高橋広和 techniczna
0
240
AIと新時代を切り拓く。これからのSREとメルカリIBISの挑戦
Avatar for ktykogm 0gm
0
630
What happened to RubyGems and what can we learn?
Avatar for Mike McQuaid mikemcquaid
0
210
フルカイテン株式会社 エンジニア向け採用資料
Avatar for FULL KAITEN fullkaiten
0
10k
Amazon Bedrock AgentCore 認証・認可入門
Avatar for iganin hironobuiga
2
490
SREじゃなかった僕らがenablingを通じて「SRE実践者」になるまでのリアル / SRE Kaigi 2026
Avatar for AEON aeonpeople
6
1.7k
あたらしい上流工程の形。 0日導入からはじめるAI駆動PM
Avatar for 熊井悠 kumaiu
5
720
Application Performance Optimisation in Practice (60 mins)
Avatar for Steve Gordon stevejgordon
0
120
Bill One 開発エンジニア 紹介資料
Avatar for Sansan, Inc. sansan33
PRO
4
17k
Kiro IDEのドキュメントを全部読んだので地味だけどちょっと嬉しい機能を紹介する
Avatar for khmoryz khmoryz
0
130
今日から始める Amazon Bedrock AgentCore
Avatar for Har1101 har1101
4
330
顧客との商談議事録をみんなで読んで顧客解像度を上げよう
Avatar for shibayu36 shibayu36
0
110

Featured

See All Featured
KATA
Avatar for Megan Lloyd mclloyd
PRO
34
15k
Writing Fast Ruby
Avatar for Erik Berlin sferik
630
62k
16th Malabo Montpellier Forum Presentation
Avatar for AKADEMIYA2063 akademiya2063
PRO
0
46
Unlocking the hidden potential of vector embeddings in international SEO
Avatar for Frank van Dijk frankvandijk
0
170
Navigating Algorithm Shifts & AI Overviews - #SMXNext
Avatar for Aleyda Solis aleyda
0
1.1k
Faster Mobile Websites
Avatar for Dean Hume deanohume
310
31k
Navigating the Design Leadership Dip - Product Design Week Design Leaders+ Conference 2024
Avatar for Andy Polaine apolaine
0
170
Skip the Path - Find Your Career Trail
Avatar for Mark Kilby mkilby
0
52
Digital Projects Gone Horribly Wrong (And the UX Pros Who Still Save the Day) - Dean Schuster
Avatar for UX Y'all uxyall
0
260
Mind Mapping
Avatar for Hélio Medeiros helmedeiros
PRO
0
71
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
Avatar for Mine Cetinkaya-Rundel minecr
0
130
GitHub's CSS Performance
Avatar for Jon Rohan jonrohan
1032
470k

Transcript

  1. .ZVTFDBTFPG 7BQPSBOE7BQPS$MPVE 7BQPS.FFUVQTUJO5PLZP 'FC !IJSHSBN

  2. .& w :VZB)JSBZBNB BMTPLOPXOBT!IJSBHSBN  w J04BQQEFWFMPQFSBU7"4*-: w 1SPUPDPMPSJFOUFEQSPHSBNNFS w

    8JMMCFTQFBLJOHBUUSZ4XJGU5PLZP

  3. 'JSTUPGBMM

  4. /FXBQQSFMFBTFE w 3FMFBTFEJOUIJTNPSOJOH w 0SCJU#JUDPJOSBUFWJFXFSJONVMUJQMF FYDIBOHFT w 6TJOH7BQPSBOE7BQPS$MPVEBT CBDLFOE w

    *`NUBMLJOHBCPVUUIJTTFSWJDF`TVTF DBTF

  5. 0VUMJOF w 8IZ7BQPS  w 8IBU*EPPO7BQPS$MPVE w (FOFSBUJOHDPOUSPMMFSTBOENPEFMTGSPN 4XBHHFSEPDVNFOUBUJPO

  6. 8IZ7BQPS w 5PCFIPOFTU BOZPUIFSGSBNFXPSLTBSFBMTPPL w *OFWFSXBOUUPNBOBHFBOZCBDLFOETUV⒎CZNZTFMG TVDIBTJOTUBODFT TDBMJOH EFQMPZNFOU EBUBCBTF

     DSPOKPCTBOETPPO w *OPUIFSXPSET *EJEO`UDIPPTF7BQPS CVUDIPTF7BQPS $MPVE w $PSFNFNCFSTBSFBDUJWFPO4MBDL TPXFDBOBTL BCPVUBOZUSPVCMFTBOERVFTUJPOT5IBOLZPV

  7. 8IBU*EPPO7BQPS$MPVE w 0OFBQQMJDBUJPOSFQMJDBJOTUBODF 4NBMM NP  w l'SFFzBOEl)PCCZzEPFTO`UIBWFFOPVHINFNPSZ UPSVO344DSBXMFSJODSPOKPCT w

    *IPQFOFXQMBOUIBUIBTPS.#PGNFNPSZ BOEDPTUTMFTTUIBONP w 0OFEBUBCBTFJOTUBODF 4IBSFE NP

  8. 8IBU*EPPO7BQPS$MPVE w .ZXFC"1*BQQMJDBUJPODVSSFOUMZEPFTKVTUGFUDIJOHGSPN %#BOESFUVSOTUPBQQBT+40//PDPNQMFYMPHJDTUIFSF w 5XPDSPOKPCT #JUDPJOFYDIBOHFDSBXMFSBOE/FXTNFEJB DSBXMFS w 3Y4XJGUBOE3Y#MPDLJOHBSFIFBWJMZVTFEUPNBOBHF"1*

    SFRVFTUTBOESFUSJFT w /FXTDSBXMFSVTFT9.-1BSTFSUPQBSTF344BOEJU XBTUFTUPPNBUDINFNPSJFTTPUIBU*IBEUPVQHSBEFUP MBSHFSJOTUBODF

  9. 7BQPS"QQ %BUBCBTF /FXTNFEJB 344 #JUDPJO FYDIBOHF "1* $SPOKPCT 8FC"1* 4JNQMF

  10. 8IBU*EPPO7BQPS$MPVE w 7BQPSDMJUPPMIBTTVCDPNNBOEDBMMFEADMPVEA BOE* DBOEFQMPZ DIBOHFSFQMJDBTJ[F PSMPPLJOUPMPHTCZ TJNQMFDPNNBOE w 7BQPSDMJUPPMBMTPDBOHFOFSBUF9DPEFQSPKFDUpMFTP

    XFDBOVTF9DPEFUPEFWFMPQ7BQPSBQQ

  11. (FOFSBUJOHDPOUSPMMFSTBOENPEFMTGSPN 4XBHHFSEPDVNFOUBUJPO NBJOQBSUPGNZUBML

  12. 8IZHFOFSBUPS w *XBOUUPDPODFOUSBUFPONZCVTJOFTTMPHJD OPU GSBNFXPSLTQFDJpDTUV⒎TTVDIBTSFHJTUSBUJPOUP 63-SPVUFS .Z42-TDIFNFNJHSBUJPO BOETPPO w *EFWFMPQJ04DMJFOUBQQMJDBUJPOBUUIFTBNFUJNF

    TPJU XJMMCFIBSEUPLFFQNPEFMEFpOJUJPOTJOCPUI SFQPTJUPSZDPSSFDUBOETBNF

  13. w 6TJOH"QQMF`THZCBTUFNQMBUF IUUQTHJUIVCDPN BQQMFTXJGUCMPCNBTUFSVUJMTHZCQZ  w 8FDBOVTF1ZUIPOJOHZCUFNQMBUFTPFBTZUPNBJOUBJO PSNPEJGZUFNQMBUFT -JOFUIBUTUBSUTGSPNAAJT 1ZUIPODPEF

  14. 4XBHHFS

  15. ˠ(FOFSBUFEDPOUSPMMFS

  16. w (FOFSBUFEDPOUSPMMFSPOMZDPOUBJOTJOGPSNBUJPOBCPVU SFTQPOTFUZQF EFTDSJCFEBTUZQFBMJBT BOE SFHJTUFSJOHDPOUSPMMFS`TNFUIPEUPSPVUFS w 5IJTNFBOT DPEFHFOFSBUPSEPFTOPUHFOFSBUF FTTFOUJBMJNQMFNFOUBUJPO

    TP*IBWFUPJNQMFNFOU DPEFUIBUGFUDIFTEBUBGSPN%#BOESFUVSOTBT SFTQPOTF w *G*GPSHPUUPJNQMFNFOUFTTFOUJBMMPHJDT DPOUSPMMFS`T NFUIPEJTNJTTJOH DPNQJMFSDBOOPUDPNQJMFUIF DPOUSPMMFSTPJU`TTBGF

  17. 5IFOZPVIBWFUPXSJUF

  18. w (FOFSBUFEDPOUSPMMFSDPOUBJOT w 3FTQPOTFUZQFEFpOJUJPO w 3PVUFSSFHJTUSBUJPO w (FOFSBUFENPEFMDPOUBJOT w 1SPQFSUZEFpOJUJPOT

    w +40/DPOWFSTJPOT w .Z42-NJHSBUJPOT

  19. w $PEFHFOFSBUJPONBLFTFBTJFS w BEEJOHOFXFOEQPJOU w BEEJOHOFXNPEFMUZQF w BEEJOHOFXQSPQFSUZUPFYJTJOHNPEFM w *U`TOPUDPNQMFUFMZBVUPNBUJD:PVIBWFUPXSJUF

    NJHSBUJPONBOVBMMZ

  20. /PUHPPEUIJOHTBSPVOE DPEFHFOFSBUJPO w .JHSBUJPOT w (FOFSBUPSHFOFSBUFTTDIFNBNJHSBUJPOPGFBDINPEFMT BTDSFBUJOHOFXUBCMF w #VUXIFO*`NBEEJOHOFXQSPQFSUZUPFYJTUJOHNPEFM *

    IBWFUPBEEOFXNJHSBUJPOUIBUBEETOFXDPMVNOGPSUIF QSPQFSUZBOEBQQFOEUPADPOpHQSFQBSBUJPOA5IJTJTOPU TVQQPSUFEZFUTPEFWFMPQFSTIBWFUPBEENJHSBUJPOGPS OFXQSPQFSUZNBOVBMMZ w *BNHPJOHUPTVQQPSUUIJTJOOFBSGVUVSF

  21. $VSSFOUTUBUVTPGUIF HFOFSBUPS w IUUQTHJUIVCDPNIJSBHSBN4XBLP w "DUVBMMZPQFOTPVSDFE CVUJU`TOPUVQEBUFE w (PJOHUPSFMFBTFOFXWFSTJPOUIBU*BNDVSSFOUMZ VTJOHPOQSPEVDUJPO

    w 0OMZGFXGFBUVSFTPG4XBHHFSBSFTVQQPSUFE CVUJU`T DVSSFOUMZFOPVHIUPNF*EPO`UIBWFNPUJWBUJPOUP TVQQPSUNPSF4XBHHFS`TGFBUVSF13TBSFXFMDPNF

  22. w 16--3&26&454"3&8&-$0.&

  23. 5SZJUPVU w 3FMFBTFEJOUIJTNPSOJOH w 0SCJU#JUDPJOSBUFWJFXFSJO NVMUJQMFFYDIBOHFT w 6TJOH7BQPSBOE7BQPS$MPVEBT CBDLFOE w

    *`NUBMLJOHBCPVUUIJTTFSWJDF`TVTF DBTF

  24. w 7BQPS$MPVEJTUIFCFTUXBZUPTUBSUEFWFMPQJOH TFSWFSTJEF4XJGU w $PEFHFOFSBUJPODBONBLF7BQPSQSPHSBNNJOHNPSF TBGF w 4XBHHFSESJWFOEFWFMPQNFOUJTHPPEXBZUPEFWFMPQ TFSWFSTJEFBOEDMJFOUBQQBUUIFTBNFUJNF 4VNNBSZ