Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
XP祭り2019 実践!モブプログラミング!!~導入編~/How to install mob...
Search
Ikuo Suyama
September 21, 2019
Technology
0
280
XP祭り2019 実践!モブプログラミング!!~導入編~/How to install mob programming to your organization
XP祭り2019、「実践!モブプログラミング!!成功も失敗も、全部見せます僕らのモブプロジャーニー!」
前編です。
Ikuo Suyama
September 21, 2019
Tweet
Share
More Decks by Ikuo Suyama
See All by Ikuo Suyama
A Journey as Staff Engineer at SmartNews! 〜一年間の経験から語る、ICキャリアの今とこれから〜
martin_lover
1
820
[zh-TW] DevOpsDays Taipei 2025 -- Creating Awesome Change in SmartNews!(machine translation)
martin_lover
1
1.2k
DevOpsDays Taipei 2025 -- Creating Awesome Change in SmartNews!
martin_lover
1
630
Creating Awesome Change in SmartNews! En
martin_lover
0
160
Creating Awesome Change in SmartNews
martin_lover
2
890
Dive into JVM JIT Compiler
martin_lover
2
260
InvokeDynamic完全に理解した / Completely Understand InvokeDynamic
martin_lover
0
1k
10分で完全に理解するInvokeDynamic / 10min To Understand InvokeDynamic
martin_lover
0
870
High Performance FastAPI EN
martin_lover
0
1.2k
Other Decks in Technology
See All in Technology
小さな判断で育つ、大きな意思決定力 / 20251204 Takahiro Kinjo
shift_evolve
PRO
1
580
[JAWS-UG 横浜支部 #91]DevOps Agent vs CloudWatch Investigations -比較と実践-
sh_fk2
1
240
Sansanが実践する Platform EngineeringとSREの協創
sansantech
PRO
2
600
技術以外の世界に『越境』しエンジニアとして進化を遂げる 〜Kotlinへの愛とDevHRとしての挑戦を添えて〜
subroh0508
1
380
[CMU-DB-2025FALL] Apache Fluss - A Streaming Storage for Real-Time Lakehouse
jark
0
110
re:Inventで気になったサービスを10分でいけるところまでお話しします
yama3133
1
120
生成AI・AIエージェント時代、データサイエンティストは何をする人なのか?そして、今学生であるあなたは何を学ぶべきか?
kuri8ive
2
2.1k
Lambdaの常識はどう変わる?!re:Invent 2025 before after
iwatatomoya
0
290
AI活用によるPRレビュー改善の歩み ― 社内全体に広がる学びと実践
lycorptech_jp
PRO
1
180
Debugging Edge AI on Zephyr and Lessons Learned
iotengineer22
0
110
ML PM Talk #1 - ML PMの分類に関する考察
lycorptech_jp
PRO
1
700
Kubernetes Multi-tenancy: Principles and Practices for Large Scale Internal Platforms
hhiroshell
0
110
Featured
See All Featured
Designing for Performance
lara
610
69k
Into the Great Unknown - MozCon
thekraken
40
2.2k
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.5k
How STYLIGHT went responsive
nonsquared
100
5.9k
RailsConf 2023
tenderlove
30
1.3k
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
Fireside Chat
paigeccino
41
3.7k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
54k
How to Ace a Technical Interview
jacobian
280
24k
The Illustrated Children's Guide to Kubernetes
chrisshort
51
51k
Building a Scalable Design System with Sketch
lauravandoore
463
34k
jQuery: Nuts, Bolts and Bling
dougneiner
65
8.2k
Transcript
࣮ફʂϞϒϓϩάϥϛϯάʂʂ ޭࣦഊɺશ෦ݟͤ·͢ ΒͷϞϒϓϩδϟʔχʔʂ ~ ಋೖฤ ~ 1
2
3
4
5
6
ʮ࣮ફʂϞϒϓϩάϥϛϯάʂʂ ~༂ਐฤ~ʯ ݟʹདྷͯͶʂ Aձ 14:25 ~ !! 7
Ͳ͏ͬͯϞϒϓϩΛ (νʔϜ|৫) ʹ σϓϩΠ͔ͨ͠ʁ 8
͡·Γͷॴ... 9
Ϟϒϓϩ͖͡ΌΜʁ ʮϞϒϓϩ͍͢͝ʂ ϞϒϓϩͰΓ͍ͨʂʯ 10
৽͍͠ΞΠσΞΛಋೖ͢Δ ͨΊʹɺͦͷΞΠσΞʹ͔͚ ΔͰɺ͋ͳͨࣗ৴Λಥ ͖ಈ͔ͦ͏ɻ — FEARESS CHANGE 1. ΤόϯδΣϦετ 11
νʔϜΛר͖ࠐΉ 12
͓ࢼ͔͠Β࢝ΊΔ • ͍͖ͳΓͯ͢ͷΓํΛม͑Α͏ͱ͠ͳ͍ • ։ൃ߹॓ ͳͲɺಛผͳػձΛԋग़͢Δ • ྑ͞ΛνʔϜʹཧղͯ͠Β͏ • ଞਓ͕ಉ͡ՁΛײ͡Δʹ
͕͔͔࣌ؒΔ • LODEOͰʙ̍Ґʁ ΈΜͳͰʮָ͠Ήʯͷ͕͍ͩ͡ʂ 13
ΧϯόϯΛ࢝ΊΔ • ΧϯόϯͱϞϒϓϩ૬ੑ͕ྑ͍ • WIPΛ੍ݶ͢Δޱ࣮ • ϓϧܕϦʔυλΠϜΛνʔϜͷՁʹ ͳͥϞϒϓϩ͕ྑ͍͔ʁ ͕આ໌͘͢͠ͳΔ 14
ظؒΛܾΊͯϑϧλΠϜ • ʮ͓ࢼ͠Ͱʂʯʮ࣮ݧͰʂʯ • ͱΓ͋͑ͣҰϲ݄ϑϧλΠϜϞϒ • ಛʹ൱ఆతͳҙݟग़ͳ͔ͬͨ Ͱ... 15
ࣗൃతʹ࢝·Βͳ͍ ຖʮϞϒΖ͏ʂʯ ͱ Slack Ͱ͔͚ 16
͜ͷࠒ͕Ұ൪ͭΒ͔ͬͨ ʮඞཁͱ͞Εͯ ͳ͍Μ͡Όͳ͍͔... ʁʯ 17
Ұϲ݄ͷ͓ࢼ͠ظؒͷޙ... ωΨςΟϒͳҙݟ͕ग़ ʮ͜Ε͕σϑΥϧτʹͳΓͦ͏ʯ ʮϞϒ͡Όͳ͍ͱͰ͖ͳ͘ͳΓͦ͏ʯ ʮͬͺΓҰਓͰΓ͍ͨʯ 18
ϞϒϓϩΛΕΔ 19
͠Βͯ͘͠... 20
݁ہϞϒϓϩʹͬͨʂ • ʮͬͺΓҰਓΑΓϞϒͷ΄͏͕ྑ͔ͬͨʯ • ேདྷͨΒ ԿݴΘͳͯ͘ Ϟϒ͕࢝·Δ • νʔϜશһ͕ϞϒͷՁΛཧղͯ͘͠Ε͍ͯΔ ͜ͷࠒ͔Β໌Β͔ʹ
ࣄָ͕͘͠ͳͬͨʂ 21
ͳͥϞϒʹͬͨΜͩΖ͏ʁ • ಛʹಇ͖͔͚͠ͳ͔ͬͨ • ڧ੍͠ͳ͔ͬͨͷྑ͔ͬͨ • ड͚ೖΕΒΕͨͷӡ͋ͬͨ(࠶ݱੑͳ͍͔...) • νʔϜ͔ΒΕΔਓ͍ͨ νʔϜ͕ʮࣗൃతʹʯϞϒʹͬͨ
ͳʹ͔ྑ͖͜ͱΛݟ͚ͭͨΑ͏ʹײ͡Δʂ 22
Ϙε† Λઆಘ͢Δ † ΤϯδχΞϦϯάϚωδϟʔ 23
࢝ΊΔͱ͖ɿ৴པஷۚΛ͏ • ৽͍͜͠ͱΛ࢝Ί͍ͨͱ͖ʹ͍ͩ͡ • ʮࣗΛฉ͘ʹՌΛ͍ͯ͠Δ͔ʁʯ • ͍ͬͯͯ͘ɺ৴པؔް͔ͬͨ ̎ͷՌͱ৴པஷۚͷೖʂ 24
νʔϜͷঢ়ଶͷྑ͞Λ͑Δ νʔϜʹྑ͍Өڹ͕ඞͣݱΕΔ • Ξτϓοτͷ্࣭͕͕Δɺૣ্͕͕͞Δ • ίϛϡχέʔγϣϯ͕૿͑ɺงғؾ͕ྑ͘ͳΔ • ࣄָ͕͘͠ͳΔʂΤϯήʔδϝϯτˢ Ξϐʔϧ͠ͳͯ͘ΘΔʂ 25
σϦήʔγϣϯϙʔΧʔ • Ͳ͜·Ͱ͕ࣗͷൣғ͔ʁΛೝࣝ߹Θͤ͢Δ • ಉ࣌ʹɺ্࢘ʹظ͢ΔׂΛ͑Δ • ʮͳͥΔ͔ʁʯʮԿ͕ྑ͍͔ʁʯઆ໌ͨ͠ ʮ։ൃͷਐΊํͤΔʯ ·Ͱ৴པΛಘͨ 26
ϏδωεΛઆಘ͢Δ 27
μϚͰΔ • ՌΛग़ͣͯ͞͠ྑ͞Λૌ͑Δͷࠔ • ཧ۶ΑΓ·ͣՌ <-> Βͳ͚ΕՌग़ͳ͍ • χϫτϦλϚΰΛղফ͢Δ •
ͨͩ͠ ظؒΛ͘ ΕඞͣՌग़Δͱ৴ͯ͡ʂʂ μϝͳΒΰϝϯφαΠ͢Δ 28
ՌΛΞϐʔϧ͢Δ • ૣ͘ಧ͚Δ • ʮ̍ϲ݄͔͔͍ͬͯͨͷ͕̍पؒʹʂʯ • ͙͢ʹɺఆظతʹ͑Δ • པ·Ε͔ͯΒϨϏϡʔʹग़͢·Ͱͷ࣌ؒ •
ϑΟʔυόοΫΛड͚͔ͯΒө·Ͱͷ࣌ؒ ʮૣ͞ʯʹΑΔ Ϗδωε༏ҐੑΛΞϐʔϧʂ 29
ྑ͘ͳ͍ಉ࣌ʹ͑Δ ʮΞτϓοτͷ૯ྔݮΓ·͢ʯ 30
ʮ͑ɺޮѱ͘ͳ͍...ʁʯ 31
...༂ਐฤʂ 32
·ͱΊ • ͔Β࢝·Δ • ਏ๊ڧ͘Δ • ਓΛר͖ࠐΉͷ͕͔͔࣌ؒΔ • ࣗͷྔ͕ߴ͍΄ͲɺԹࠩʹ৺͕ંΕ͕ͪ •
ଓ͚͍ͯΔͱཧղͯ͘͠ΕΔਓͨͪʹग़ձ͑Δ(͔) • આ໌ΛՌͨ͢ • TO ϘεϏδωεɺεςʔΫϗϧμʔ 33
ʮ࣮ફʂϞϒϓϩάϥϛϯάʂʂ ~༂ਐฤ~ʯ ݟʹདྷͯͶʂ Aձ 14:25 ~ !! 34
Thank you For Your kind Attention!! 35