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
파급효과: From AI to Android Development
Search
HyunWoo Lee
April 28, 2025
Programming
0
230
파급효과: From AI to Android Development
Build with AI on Android 2025에서 진행한 파급효과: From AI to Android Development의 Speaker Deck입니다.
HyunWoo Lee
April 28, 2025
Tweet
Share
More Decks by HyunWoo Lee
See All by HyunWoo Lee
Understanding Kotlin Multiplatform
l2hyunwoo
0
260
선언형 UI에서의 상태관리
l2hyunwoo
0
510
선언형 UI를 학습할 때 알아둬야하는 키워드들
l2hyunwoo
0
440
Essential concepts to know when learning Declarative UI
l2hyunwoo
2
1.4k
React Native under the hood
l2hyunwoo
0
120
유연한 Composable 설계
l2hyunwoo
0
680
KotlinConf 2024 Global in South Korea Keynote
l2hyunwoo
0
130
TextField 씹고 뜯고 맛보고 즐기고
l2hyunwoo
0
440
CDG로 모두와 함께 성장하기
l2hyunwoo
0
200
Other Decks in Programming
See All in Programming
一人でAIプロダクトを作るための工夫 〜技術選定・開発プロセス編〜 / I want AI to work harder
rkaga
13
2.8k
エンジニアのための”最低限いい感じ”デザイン入門
shunshobon
0
130
私の後悔をAWS DMSで解決した話
hiramax
4
130
DockerからECSへ 〜 AWSの海に出る前に知っておきたいこと 〜
ota1022
5
1.8k
モバイルアプリからWebへの横展開を加速した話_Claude_Code_実践術.pdf
kazuyasakamoto
0
260
UbieのAIパートナーを支えるコンテキストエンジニアリング実践
syucream
2
700
兎に角、コードレビュー
mitohato14
0
150
『リコリス・リコイル』に学ぶ!! 〜キャリア戦略における計画的偶発性理論と変わる勇気の重要性〜
wanko_it
1
590
デザインシステムが必須の時代に
yosuke_furukawa
PRO
2
110
オープンセミナー2025@広島LT技術ブログを続けるには
satoshi256kbyte
0
120
AI OCR API on Lambdaを Datadogで可視化してみた
nealle
0
180
「リーダーは意思決定する人」って本当?~ 学びを現場で活かす、リーダー4ヶ月目の試行錯誤 ~
marina1017
0
240
Featured
See All Featured
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
26k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
131
19k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
251
21k
The Invisible Side of Design
smashingmag
301
51k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
The Language of Interfaces
destraynor
160
25k
Practical Orchestrator
shlominoach
190
11k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.6k
It's Worth the Effort
3n
187
28k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
667
120k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
8
890
A designer walks into a library…
pauljervisheath
207
24k
Transcript
파급효과 : From AI to Android Development in 2025 HyunWoo
Lee GDG Korea Android Korea Android
ഄݺ: ޖ ߸ೞחо? Chapter One Revolution: What’s new in our
lives?
AI → ഄݺ
ੋܨ ޙݺ ߊী ೠ ೱਸ ՙ 3о ഄݺਸ ੌஸ •
ઁ 1 ޛѾ: ֪স ഄݺ • ઁ 2 ޛѾ: স ഄݺ • ઁ 3 ޛѾ: ࠁച ഄݺ ޛѾ ۿ(চ࠼ ష۞)
п ޛѾ ੋܨ ޙݺীࢲ “ҕә ߑध”ਸ ഄनदఅ ࢎѤ → ޛѾ
աт ٸ݃ ੋܨ ޙݺ ࢤઓ ߑध ׳ۄѱ ؽ ޛѾ ۿ(চ࠼ ష۞)
সഄݺ ૐӝӝҙ ߊݺਵ۽ ઁಿਸ ࢤࣘ بী ഄनਸ Ҋ ҕઁ ࢤߑधਸ
ٜ݅য ੋܨ ࣻਃܳ ֈযࢲח ઁಿ (/ध/)ٜਸ ࢤೡ ࣻ ѱ ؽ ࠄী ೠ न҅ә҅(ࠗܰই/ ܀ۨఋܻই) ࢤ, ઁҴ द ߊ ֪সഄݺ ࣻ۵/ ӝ߈ ࢤઓߑधী ࢲ ػ షীࢲ ֪ࢎܳ য “ݡѢܻ”ܳ ࢤೞৈ উੋ ࢤ ઓਸ যաт ࣻ ѱ ೣ ੋܨࢎഥ ҅әઁ/ӝୡੋ ҃ઁ ѐ֛ ܳ ӝ߈ਵ۽ ഋࢿ ٣ణഄݺ җ ਘ٘ ৬٘ ਢ(WWW)ী ӝ߈ೞৈ ੋܨо ࠁܳ ࢤೞҊ ҕਬೞח ߑध ഄनਸ оೣ. ܳ ӝ߈ೠ স زച, ޖੋചо द ؽ ٜب ࣚऔѱ ࠁܳ ҕਬ߉ই ߊী ੋ ೱ, ࢜ ۽ ࢤഝߑध(Mobility)ী ݏח ࣻਃী ೠ ҕә ହؽ п ޛѾ “әബҗ”
AIח যڃ Ѫਸ ഄनदఃחо?
Chapter Two 4th Industrial Revolution: What’s AI Innovating? 4ର সഄݺ:
AIח ޖਸ ഄनदఃחо?
Klaus Schwab …۠ ӝٜࣿ ࣻभর ݺ ࢎۈٜਸ ҅ࣘ೧ࢲ ਢী ো
ѾೞҊ ࠺ૉפझ ߂ ઑ ബਯࢿਸ ദӝਵ۽ ೱ࢚दఃݴ ؊ ա ҙܻܳ ా೧ ো ജ҃ਸ ࢤೡ ࣻ ח ழۆ ਫ਼۱ਸ оҊ .
AI Agent based on LLM(Large Language Model) (Gemini 2.5, o4..)
Editable Location
Mark Zuckerberg Meta/CEO “2025֙҃ীח ݫఋীࢲ ח Middle-level Engineerۢ ٘ܳ
ࢿೡ ࣻ ח AIܳ ѐߊೡ Ѫੑפ.”
Service based on AI Editable Location
Service based on AI Editable Location
• ա݅ ӝࣿ࠶۽Ӓܳ ٜ݅Ҋ रয, ӭՔೞҊ ࣁ۲ػ ו՝, • ӝࠄਵ۽
ݽ٘о ഝࢿച غযযঠ ೞҊ ਃदী ۄ ݽ٘۽ ജೡ ࣻ ח షӖ ݽ٘о ਵݶ જѷয. • ӒܻҊ కӒ߹۽ ѱदޛٜਸ ࠅ ࣻ ח ӝמٜҗ Ѩ࢝ ӝמ ୶оغযঠ ೧. ѱदӖ ݃(md)ܳ ਗ೧ঠظ. • ղ ࣗѐ ಕܳ ٮ۽ ٜ݅ਵݶ જѷয. • ղ ࣗѐ ಕীח ܴ/۽ ࢎ/۱/োۅ৬ ࣗ࣍٣য ݂ /ನಫܻয় ݂ܳ ৢܾ ࣻ যঠ ظ. ӝࣿ ࠶۽Ӓ ઁ ௪ܻ
ӝࣿ ࠶۽Ӓ ઁ ௪ܻ
• ӝמ ҳഅী ೠ ࣻ ௪ܻ • दೞח Ӗਸ ־ܰݶ
࢚ࣁ ಕ۽ ֈযоঠೞחؘ ಕо উٜ݅য Ѫ эই. ࢚ࣁಕীח ઁݾ ݢ ࠁৈҊ Ӓ റী ղਊ ӒܻҊ కӒ ٜ ࠁৈҊ ؆Ӗө ׳ ࣻ যঠ ظ • അ ѱदӖ ࢚ࣁ ಕীࢲ ؆Ӗ ࢿ ӝמ ҳഅغয ঋҊ पઁ ؘ ఠо োزغয ঋ Ѫ эই. ೧ ӝמٜਸ ୶о೧ ӝࣿ ࠶۽Ӓ ઁ ௪ܻ
٬ ో ഝਊ ۽ࣁझ Debugging ޙઁо ߊࢤೞݶ زਵ۽ ী۞ܳ х
೧ ী۞ܳ ೧Ѿೡ ࣻ ח ٘ ܳ ࢤࢿ/ࣻ Project init ӝמ झಖ ޙࢲ/ೖӒ݃ ੌ ࠗೞ ৈ ۽ં ࢤࢿ(MVP) Maintenance ӝઓ ۽ંী ࢜۽ ӝמٜਸ ୶о/ࣻೞח ١ ਬࠁࣻب ೡ ࣻ
…۠ ӝٜࣿ ࣻभর ݺ ࢎۈٜਸ ҅ࣘ೧ࢲ ਢী ো ѾೞҊ ࠺ૉפझ
߂ ઑ ബਯࢿਸ ദӝਵ۽ ೱ࢚दఃݴ ؊ ա ҙܻܳ ా೧ ো ജ҃ਸ ࢤೡ ࣻ ח ழۆ ਫ਼۱ਸ оҊ .
…۠ ӝٜࣿਸ ഝਊೞৈ ӝઓ ੋ۱ٜਸ AI۽ ೞৈ ӝসٜ ࠺ਊ ബਯࢿਸ
ദӝਵ۽ ೱ࢚दఃݴ ؊ ա ҙܻܳ ా೧ ӝস ܲ ࠙ঠী ࠄਸ ై ೡࣻ ب۾ ೠ.
әѺ ߊೞח ؘఠ ࢤࣘب ӝਗ 3,000֙ࠗఠ 5,000֙ زউ ࢤػ ؘఠо
20 ুࢎ߄ (2ୌ݅ పۄ߄) Ҋ 2000֙ ୡ߈ࠗఠ 2021֙ө ࢤػ ؘఠ ୨ 50 ઁఋ߄ (5݅ ুࢎ߄ ).
2500ߓ ؘఠ ࢤࣘب ౠ • 20ৈ֙ زউ ࢤػ ؘఠо 5,000
֙р ؘఠ 2,500ߓܳ ֈযࢲח Ѫ. • അ ੋܨо о ؘఠ ড 90%ח դ 10֙р ࢤعਸ ೠ.
ӝࣿ ౠ ӝࣿ ೦ҳೠ оࣘ ߊਵ۽ ੋ೧ ੋܨ ࢎীח োਵ۽
ౠ ߊࢤ ೡ Ѫݴ, Ӓ റ ੋܨ ࢎח ӘԈ যઉৡ Ѫҗח ഃ ܲ ޖоо ؼ Ѫ.
1. AIо ѐߊܳ ೞח Ѣ ইקө? 2. ࠁ নী
ౠ ৡݶ ੋܨח যڌ ѱ ݆ࣻ ࠁٜਸ ٮۄт Ѫੋо? فо ޙ
Chapter Three How can I survive in the AI era?
AI ࣁ҅ীࢲ ইթӝ
None
1. ߨ गٜ(଼ ࣗ) 2. ತࣧੋ ࠁٜ AIо ݏٯڰܻח ف
೧
1. Closed source ۽؋(ਬܐ SDK) 2.۽ં ղࠗ Context/بݫੋ ۽ ತࣧ(?)ੋ
ࠁٜ
AIо ࢤࢿೠ ؘఠ۽ णೞח ҃ Nࣁо դ റ Ѿҗޛ ജп
࠼ب, ؘఠ ࢿ ڄযח അ࢚ ߊࢤ ӈ (झࠗܰ AI)
• ѾҴ ੋр AIо ٜ݅যղח ٘ী ೧ࢲ ೧ܳ ೡ
ঌইঠ ೠ • AIܳ ؊ ੜ ഝਊೞӝ ਤ೧ࢲۄب ѐߊٜ ҅ࣘ೧ࢲ ࢜۽ ٘ ٜਸ ࢿ೧ঠ݅ ೠ. • AIܳ ഝਊೡ ٸ ਸ ࣻ ח ࢤࢿ ӝࠄਵ۽ оઉоঠ ೠ. ࢚ടٜਸ ഝਊ೧ࠁ
ѾҴূ ѐߊ ਤ࢚ • ӝઓী ӝמٜਸ ੜ ѐߊೞҊ ࠄੋ ࢿೠ
٘о যڌѱ زೞח ೧ܳ ೞҊ ؍ ٜ࠙ ӒܻҊ ޙઁо ߊࢤ೮ਸ ٸ ਗੋਸ ইղ प ࣻ ח ࠙दۄݶ ఋѺ হਸ Ѫ э • ݅ Ӓ۞ ޅೞ࣑ݶ, AIо ࢿೠ ٘ܳ ഝਊೡ ٸ Ӓ ٜ٘ਸ ೧ܳ ೡ ࣻ ח ী ೧ࢲ झझ۽ ࢤпਸ ೞ࣊ঠ פ. • AIо ࢿೠ ٜ٘ झझ۽ ࢿೡ ই࣊ঠ ೞҊ ؊ աইо য ڌѱ ѐࢶೡ ࣻ ח , ࢎ٘ ಖо աח ঋחө ࢤп ਸ ೞप ই࣊ঠ פ.
ߧۈೞח ࠁ әܨܳ ఋҊ ݁ೠ ѐߊ ৈਸ ٜ݅য աт ࣻ
ب۾
Index Reference
• ઁ 3 ޛѾ, চ࠼ ష۞ • ۄझ गߏ ઁ
4ର সഄݺ, ۄझ गߏ • Lovable • [ݽفܳ ਤೠ ੋҕמ] 5. ܻীѱ ‘ؘఠ’ח যڃ ੋо • The curse of recursion: Training on Generated Data Makes Models Forget Reference
Thank You HyunWoo Lee Viva Republica(Toss) Korea Android