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
(= ? (+ nREPL Docker))
Search
OHTA Shogo
December 19, 2016
Programming
580
0
Share
(= ? (+ nREPL Docker))
Lisp meetup #47の発表スライドです。
OHTA Shogo
December 19, 2016
More Decks by OHTA Shogo
See All by OHTA Shogo
テンクーでのClojure活用事例
athos
0
400
軽量デバッグツールPostmortemの紹介.pdf
athos
1
210
Clojure 1.10 概要紹介
athos
3
690
やってみる!clojure.spec
athos
4
1.1k
kitchen-async: a promising (?) Promise library, or a poor man's core.async
athos
3
510
Clojure 1.9 概要紹介
athos
4
1.5k
ここ最近のClojureScript
athos
5
1.8k
clojure.specの話
athos
3
2.4k
clojure.specの話(仮)
athos
2
370
Other Decks in Programming
See All in Programming
Symfony AI in Action - SymfonyLive Berlin 2026
chr_hertel
1
140
AIを導入する前にやるべきこと
negima
2
350
🦞OpenClaw works with AWS
licux
1
350
GitHubCopilotCLIをはじめよう.pdf
htkym
0
330
Agent Skills を社内で育てる仕組み作り
jackchuka
1
1.9k
ついに来た!本格的なマルチクラウド時代の Google Cloud
maroon1st
0
410
cloudnative conference 2026 flyle
azihsoyn
0
170
開発とはなにか、Essenceカーネルで見えるもの
ukin0k0
0
140
Spec Driven Development | AI Summit Vilnius
danielsogl
PRO
1
150
継続的な負荷検証を目指して
pyama86
3
1.1k
From Formal Specification to Property Based Test
ohbarye
0
2.4k
ローカルLLMでどこまでコードが書けるか / How much code can be written on a local LLM
kishida
2
350
Featured
See All Featured
How to train your dragon (web standard)
notwaldorf
97
6.6k
Into the Great Unknown - MozCon
thekraken
41
2.5k
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
Skip the Path - Find Your Career Trail
mkilby
1
120
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
150
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
22k
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
160
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
550
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
140
The Cult of Friendly URLs
andyhume
79
6.9k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.2k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
360
Transcript
(= ? (+ nREPL Docker)) -JTQNFFUVQ !BUIPT
ࣗݾհ ‣ 5XJUUFS!BUIPT ‣ χϟϯύεגࣜձࣾॴଐ ‣ $MPKVSFίϯτϦϏϡʔλ
αϯυϘοΫε IUUQTqJDLSQ4S$%
αϯυϘοΫεػೳ ‣ ϓϩάϥϜΛอޢ͞ΕͨྖҬͰ࣮ߦ͢ΔηΩϡϦςΟ ػߏ ‣ ৴པͰ͖ͳ͍ϓϩάϥϜΛ࣮ߦ͢ΔͨΊʹΘΕΔ ‣ Α͋͘Δར༻ྫ ΦϯϥΠϯίϯύΠϥ
CPUͰͷίʔυ࣮ߦ
$MPKVSFʹ͓͚ΔαϯυϘοΫεࣄ ‣ DMPKBJM ఆ൪ͷαϯυϘοΫεϥΠϒϥϦ 5SZ$MPKVSFDMPKVSF༗໊ͳαʔϏεͰΘΕ͍ͯΔ ‣ DMKTBOECPY
DMPKBJMͷϕʔεʹͳͬͨϥΠϒϥϦʁ ͘Β͍ߋ৽͞Ε͍ͯͳ͍
DMPKBJM IUUQTqJDLSQHS-R
DMPKBJMͷΈ KBWBTFDVSJUZ ϒϥοΫϦετํࣜͷ ίʔυνΣοΫ DMPKBJM
KBWBTFDVSJUZ ‣ +7.ʹΈࠐ·ΕͨηΩϡϦςΟػߏ ‣ 4FDVSJUZ.BOBHFSΛͬͨωοτϫʔΫϑΝΠϧ γεςϜɺϥϯλΠϜͷΞΫηε੍ޚ͕Մೳ ‣ ύʔϛογϣϯΛ৽͘͠࡞ͬͯಠࣗఆٛΫϥεͷ ΞΫηεݖΛ੍ݶ͢Δ͜ͱͰ͖Δ
ϒϥοΫϦετํࣜͷίʔυνΣοΫ ‣ KBWBTFDVSJUZ$MPKVSFϨϕϧͷγεςϜͷഁյΛײ ͠ͳ͍ ‣ $MPKVSFϨϕϧͷγεςϜอޢͷΈ ‣ ͋Β͔͡Ίېࢭ͢ΔγϯϘϧͷϦετΛ༻ҙ͓ͯ͠ ͖ɺίʔυʹͦͷγϯϘϧ͕ग़ݱͨ͠ΒΤϥʔ
DMPKBJMͷԿ͕͔ʁ ‣ ϚΫϩͷΈʹΑΓɺίʔυதʹ໌ࣔతʹॻ͔ ͳͯ͘γϯϘϧΛ࡞Γग़ͤΔ ϒϥοΫϦετΛ͢Γൈ͚ΒΕΔʂʂ ‣ ͑ΔػೳΛ੍ݶ͢Ε͛Δ͔͠Εͳ͍͕ɺα ϯυϘοΫεͰࢼͤΔػೳগͳ͘ͳΔ
ͬͱࣗ༝ʹίʔυΛॻ͚ΔαϯυϘοΫεڥ͕ཉ͍͠
OSFQMSFWPMWFS IUUQTqJDLSQDB6O:
OSFQMSFWPMWFS ‣ DMPKBJMʹΘΔ൚༻తαϯυϘοΫεػೳΛఏڙ ‣ ෦Ͱ%PDLFSΛͬͨO3&1-αʔόͱ࣮ͯ͠ݱ
%PDLFS ‣ ίϯςφܕͷԾԽΛͬͨσϓϩΠࣗಈԽπʔϧ ‣ ͜͜Ͱʮִ͞Εͨڥ ʹίϯςφ Ͱϓϩηε Λ࣮ߦͰ͖ΔΈʯ͘Β͍ͷೝࣝͰ0, ‣ $16ϝϞϦͷ༻੍ݶͰ͖Δ
‣ ίϯςφͷੜىಈɾఀࢭΛ6/*9υϝΠϯιέο τܦ༝Ͱ੍ޚͰ͖Δ"1*͕༻ҙ͞Ε͍ͯΔ
O3&1- ‣ lOFUXPSL3&1-z ‣ ωοτϫʔΫӽ͠ʹ3&1-ʹΞΫηε͢ΔͨΊͷϓ ϩτίϧ 4-*.&ʹ͓͚ΔTXBOLతͳҐஔ͚ͮ ϓϩτίϧࣗମݴޠඇґଘ
‣ ଟ͘ͷ$MPKVSFͷ3&1-͕O3&1-ͰͷଓΛαϙʔτ ͍ͯ͠Δ
ϛυϧΣΞ O3&1-ͷߏཁૉ ΫϥΠΞϯτ αʔό ϋϯυϥ 3&1- ϝοηʔδ τϥϯεϙʔτ நԽ͞Εͨϝοηʔδૹ࿏
O3&1-ϓϩτίϧͱϝοηʔδ ‣ ηογϣϯͷ֓೦͕͋Δ ηογϣϯ͕ಉ͡ͳΒಈతڥ͕ಉҰʹͳΔ͜ͱ͕อূ͞ΕΔ ηογϣϯΛΫϩʔϯͰ͖ɺΫϩʔϯݩͷಈతڥΛҾ͖ܧ͛Δ ‣ \PQDMPOF^
ηογϣϯͷΫϩʔϯɻΫϩʔϯݩΛࢦఆ͠ͳ͚Ε୯ʹηογϣϯͷ։࢝ɻ ‣ \PQFWBMDPEFlʜz^ ίʔυͷධՁɻ ‣ \PQDMPTF^ ηογϣϯͷΫϩʔζɻ
OSFQMSFWPMWFSͷߏ IUUQTXXXGBDFCPPLDPNQFSNBMJOLQIQ TUPSZ@GCJEJE
OSFQMSFWPMWFSͷઃܭํ ‣ ηογϣϯͭͭʹ%PDLFSίϯςφΛׂΓͯɺ ࣮ߦΛִ ‣ ηογϣϯͷ։࢝ɾऴྃʹ߹ΘͤͯίϯςφΛੜɾ ഁغ
OSFQMSFWPMWFSͷߏ OSFQM SFWPMWFS ίϯςφ OSFQM αʔό %PDLFS 3FNPUF"1* ίϯςφ OSFQM
αʔό ίϯςφ OSFQM αʔό ίϯςφϓʔϧ ίϯςφͷىಈʹଟগֻ͕͔࣌ؒΔͷͰ͋Β͔͡Ίཱ͓͍ͪ͛ͯͨ ίϯςφΛϓʔϧ͓͖ͯ͠ɺηογϣϯ͝ͱʹͦ͜ʹͭͳ͗ʹߦ͘
OSFQMSFWPMWFSͷՄೳੑ ‣ ִ͞ΕͨෳͷڥͰखܰʹฒߦͯ͠ίʔυΛ ࣮ߦͰ͖ΔΈ͕खʹೖͬͨ ‣ ηΩϡϦςΟҎ֎ʹԠ༻Ͱ͖Δʁ ߴʹىಈͰ͖Δ3&1- ςετͷฒྻ࣮ߦ
·ͱΊ ‣ OSFQMSFWPMWFSͰDMPKBJMʹΘΔαϯυϘοΫεػೳ Λఏڙ ‣ ִ͞ΕͨڥͰฒߦͯ͠ίʔυΛ࣮ߦͰ͖Δ Έ͕खʹೖͬͨ ‣ ͱΓ͋͑ͣϓϩτλΠϓͱͯ͠ಈ͘Α͏ʹͳͬͯ ͖͕ͨɺ࣮༻Ͱ͖Δͷ͔Α͔͘Βͳ͍
ࢀߟ ‣ IUUQTHJUIVCDPNBUIPTOSFQMSFWPMWFS