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
F1 Fukuoka GP '23
Search
Miho Nagase
March 04, 2023
Technology
0
2.3k
F1 Fukuoka GP '23
Miho Nagase
March 04, 2023
Tweet
Share
More Decks by Miho Nagase
See All by Miho Nagase
Dynamic Reteaming And Self Organization
miholovesq
3
790
Commitment vs Harrisonism - Keynote for Scrum Niseko 2024
miholovesq
6
3.3k
『チームトポロジー』と Platform Engineering
miholovesq
15
4.9k
コミュニケーションについて
miholovesq
1
310
小さな「うっ」は成長のチャンス
miholovesq
0
2.4k
F1 Ochanomizu GP '23
miholovesq
0
4.6k
F1 Sapporo GP '22
miholovesq
0
700
F1 Sendai GP '22
miholovesq
0
1.2k
F1 Osaka GP '22
miholovesq
0
390
Other Decks in Technology
See All in Technology
Developer 以外にこそ使って欲しい Amazon Q Developer
mita
0
140
VitePress & MCPでアプリ仕様のオープン化に挑戦する
hal_spidernight
0
110
Ruby on Rails の楽しみ方
morihirok
5
1.9k
使えるデータ基盤を作る技術選定の秘訣 / selecting-the-right-data-technology
pei0804
8
1.3k
クラウドネイティブ環境の脅威モデリング
kyohmizu
2
410
Gateway H2 モジュールで スマートホーム入門
minoruinachi
0
140
CARTA HOLDINGS エンジニア向け 採用ピッチ資料 / CARTA-GUIDE-for-Engineers
carta_engineering
0
27k
本当に必要なのは「QAという技術」だった!試行錯誤から生まれた、品質とデリバリーの両取りアプローチ / Turns Out, "QA as a Discipline" Was the Key!
ar_tama
9
4.7k
Terraform にコントリビュートしていたら Azure のコストをやらかした話 / How I Messed Up Azure Costs While Contributing to Terraform
nnstt1
1
500
Part2 GitHub Copilotってなんだろう
tomokusaba
2
800
とあるEdTechベンチャーのシステム構成こだわりN選 / edtech-system
gotok365
5
330
Kaigi Effect 2025 #rubykaigi2025_after
sue445
0
150
Featured
See All Featured
Building an army of robots
kneath
305
45k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
19
1.2k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.3k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
45
7.2k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
49k
Keith and Marios Guide to Fast Websites
keithpitt
411
22k
Building Flexible Design Systems
yeseniaperezcruz
329
39k
Building Applications with DynamoDB
mza
94
6.4k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.6k
Art, The Web, and Tiny UX
lynnandtonic
298
20k
How STYLIGHT went responsive
nonsquared
100
5.5k
Thoughts on Productivity
jonyablonski
69
4.6k
Transcript
F1ԬGP ‘23
F1ԬGP ‘23ͱ F1ͷFFeedbackͷFͰ͢!!! ެื͓ͨ͠ΈΛ͓ͱͯ͠ग़͠·͢ υϥΠόʔ૬ஊऀʹϑΟʔυόοΫ͠·͢ Ӷ͘͞Δ ϑΟʔυόοΫΛͲΕ͚ͩ ૉૣ͘ Ͱ͖Δ͔ͰɺϙΠϯτΛڝ͍·͢ ධՁ͢ΔͷΈͳ͞ΜͰ͢
͓ʢྫʣ εΫϥϜϚελʔͰ͢ɻ্࢘ ͕νʔϜͷύϑΥʔϚϯεΛؾʹ ͍ͯ͠ΔͷͰɺϕϩγςΟͷάϥ ϑΛݟ͑ΔԽͯ͠ΈͨΜͰ͕͢ɺ Ͳ͏Ͱ͠ΐ͏͔ʁ ্࢘ண͔ͨ͠ ΓͳͷͰਓࣄΛม͑ Δ͜ͱͰ͖·ͤ Μɻ
❗ By ढ़ͷوެࢠ
"yattom" F1͓ͷਫGP ’22 F1େࡕGP ’22
"katzchang" F1ࡳຈGP ’22
"yattom" F1͓ͷਫGP ‘23
"Who wins?" F1ԬGP ‘23
υϥΠόʔհ
yota
yattom
teyamagu
toudori
yattom teyamagu yota toudori
͓ʢྫʣ εΫϥϜϚελʔͰ͢ɻ্࢘ ͕νʔϜͷύϑΥʔϚϯεΛؾʹ ͍ͯ͠ΔͷͰɺϕϩγςΟͷάϥ ϑΛݟ͑ΔԽͯ͠ΈͨΜͰ͕͢ɺ Ͳ͏Ͱ͠ΐ͏͔ʁ ্࢘ண͔ͨ͠ ΓͳͷͰਓࣄΛม͑ Δ͜ͱͰ͖·ͤ Μɻ
❗ By ढ़ͷوެࢠ
ථDiscordͷ#ϝΠϯτϥοΫͰड͚͚·͢
ථDiscordͷ#ϝΠϯτϥοΫͰड͚͚·͢
͓ʢྫʣ εΫϥϜϚελʔͰ͢ɻ্࢘ ͕νʔϜͷύϑΥʔϚϯεΛؾʹ ͍ͯ͠ΔͷͰɺϕϩγςΟͷάϥ ϑΛݟ͑ΔԽͯ͠ΈͨΜͰ͕͢ɺ Ͳ͏Ͱ͠ΐ͏͔ʁ ্࢘ண͔ͨ͠ ΓͳͷͰਓࣄΛม͑ Δ͜ͱͰ͖·ͤ Μɻ
❗ By ढ़ͷوެࢠ
͔͜͜Βຊ൪Ͱ͢
͓ KPTAΛͬͯ;Γ͔͑ΓΛ͍ͯ͠· ͢ɻݸਓతʹվળͨΊͷΞΫγϣϯ Λग़ͯ͠໌Δ͘ɺલ͖ͳؾ࣋ͪͰ; Γ͔͑ΓΛऴ͍͑ͨͱࢥ͍ͬͯ·͢ɻ ͨͩɺProblemͷ෦ͷύϫʔ͕ڧ ͘ɺ;Γ͔͑Γ͕ղܾձʹͳͬͯ ͠·͍ͬͯ·͢ɻϙδςΟϒʹ͢Δͨ ΊʹͲ͏ͨ͠Β͍͍Ͱ͠ΐ͏͔ʁ ΈΜͳ;Γ͔͑Γͷϑ
ϨʔϜϫʔΫKTPʹ ׳Ε͓ͯΓɺ͔͜͜Β େ͖͘ม͑Δͷߴ͍ ϋʔυϧ͕͋Γ·͢ ❗ By ڽॖଠ / εΫϥϜνʔϜશһ
͓ ࢲ࠷ۙͱ͋Δडୗ։ൃϓϩδΣΫτ ʹɺ։ൃऀͱ్ͯ͠தࢀը͠·ͨ͠ɻ ιʔείʔυΛಡΜͰΈͨͱ͜Ζɺඇ ػೳཁ͕݅ߟྀ͞Ε͓ͯΒͣϦϦʔε Ͱ͖ΔϨϕϧͰ͋Γ·ͤΜɻ ࣗҎ֎ͷؔऀϓϩδΣΫτॱ ௐʹਐΜͰ͍Δͱ৴͡ࠐΜͰ͍·͢ ͕ɺ͔͜͜ΒͲ͏يಓमਖ਼ͨ͠ΒΑ͍ Ͱ͠ΐ͏͔ʁ
ϓϩδΣΫτࢭΊΒ Ε·ͤΜ εΫϥϜΛಋೖ͍ͯ͠ ͯɺސ٬͕ϓϩμΫτ ΦʔφʔΛ୲͍ͬͯ· ͢ ❗ By ۚࠇύϯখૐ / ։ൃऀ
͓ ࣗಈςετಋೖɺϥΠϒϥϦͷΞοϓ σʔτͳͲػೳΛ։ൃ͢ΔΘ͚Ͱ ͳ͍όοΫϩά͕ͲΜͲΜޙΖʹζϨͯ ͍͖·͢ɻ ͜ͷ··ͩͱ·͍ͣΑ͏ͳؾ͢ΔͷͰ ͕͢ɺۙͷ։ൃ͢ΔػೳΛݟͯΈΔͱ ػೳ։ൃΛ༏ઌ͠ͳ͍ͱ͍͚ͳ͍ؾ͠ ·͢ɻͲ͏͍͏෩ʹ༏ઌॱҐΛܾΊΔͱ ྑ͍Ͱ͠ΐ͏͔ɻ
ʢಛʹͳ͠ʣ ❗ By ͔ͬͪΌΜ࠷ߴ / ։ൃऀ
͓ ϓϩμΫτ࡞ΓʹܞΘ͍ͬͯΔͷͰ͢ ͕ɺ৽نͷػೳ։ൃ͕શͯۀքҰ൪ख ͷޙ͍Ͱ͢ɻ·ͣػೳࠩΛຒΊͳ ͍ͱചΕͳ͍ͱݴΘΕΔͷͰ͕͢ϓϩ μΫτ࡞Γͱͯ͠ਖ਼͍͠ͷ͔ɺ ͍ͯ͠·͢ɻօ͞ΜͳΒ͜ͷϓϩμ ΫτΦʔφʔʹͳΜͱ͑·͔͢ʁ Ձ֨໘ͰۀքҰ൪ख ΑΓ͏ͪͷϓϩμΫ
τͷํ͕͍҆Ͱ͢ ❗ By ுΓ͍ͨসإ·ΔͰʹΘ͔ͤΜ͍ / εΫϥϜϚελʔ
͓ ΈΜͳ͕εΫϥϜΊ͍ͨͬͯݴͬͯ ·͢ɻ͋Μ·Γ͏·͍͍ͬͯ͘ͳ͍͜ ͱ͋Γɺࢲࣗࢍಉ͢Δͱ͜Ζ ͋ΔͷͰ͕͢ɺࢲҰମͲ͏ͳΔΜͰ ͠ΐ͏͔ɻ ࢲίʔυॻ͚·ͤ Μ ❗ By
ͬͨͳߴࡊ / εΫϥϜϚελʔ
͓ ࣗͷଐͷ෦Լ͕ɺΧϯϑΝϨϯε ʹࢀՃ͢ΔͨΊʹ৽ଔݚमͷୈ3िͰ2 ؒٳΈ͍ͨͦ͏Ͱ͢ɻॳΊͷେࣄͳ ࣌ظͳͷͰٳΜͰ΄͘͠ͳ͍Ͱ͕͢ɺ ͦͷΧϯϑΝϨϯεͷ༗ӹੑཧղ͠ ͍ͯ·͢ɻࢲ͕࣍ʹऔΔ͖ߦಈͳ ΜͰ͠ΐ͏͔ʁ ৽ଔݚमͷࢿྉٳΜ Ͱڞ༗͞Ε·͕͢ɺ
ಛʹॳظάϧʔϓ ϫʔΫ͕ଟ͍ͨΊಉظ ͕·͍͠Ͱ͢ɻ ❗ By ಁ໌ਓؒ18߸ / ࣄۀ෦
͝ࢀՃ͋Γ͕ͱ͏͍͟͝·ͨ͠ ·ͨ࣍અ ͓ձ͍͠·͠ΐ͏#$ %