Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
파급효과: From AI to Android Development
Search
HyunWoo Lee
April 28, 2025
Programming
430
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
More Decks by HyunWoo Lee
See All by HyunWoo Lee
선언형 햅틱 라이브러리 진동을 소개합니다
l2hyunwoo
1
280
우리의 Nitro Modules는 당신의 Turbo Modules보다 아름답다
l2hyunwoo
0
250
KotlinConf Extended South Korea 2026 Keynote
l2hyunwoo
0
160
Jindong: Introducing Declarative Haptics in Compose Multiplatform
l2hyunwoo
0
200
Navigating Dependency Injection with Metro
l2hyunwoo
1
520
How Android Uses Data Structures Behind The Scenes
l2hyunwoo
1
850
Understanding Kotlin Multiplatform (Busan)
l2hyunwoo
0
130
Understanding Kotlin Multiplatform
l2hyunwoo
0
420
선언형 UI에서의 상태관리
l2hyunwoo
0
680
Other Decks in Programming
See All in Programming
自作Discord音声botをLambda MicroVMsに移行した話 / Migrating My Discord Voice Bot to Lambda MicroVMs
akihisaikeda
1
280
高橋メソッドでCVE解説シリーズ 〜CVE-2026-112816〜
hakkadaikon
0
200
Herb in Rails 8.2: Your ERB views, now HTML-aware @ Kaigi on Rails 2026, Tokyo, Japan
marcoroth
2
410
ActionController meets Protocol Buffers
sorah
1
780
エージェントを使い続けるためのメタワーク / Meta-work for keeping using the agent
rkaga
6
2.2k
AIで開発が速くなった先で、開発チームは何を目指すか
shihochan
1
2k
小さなアプリを作って公開するまで
onozaty
0
120
[DroidKnights 2026] Workflow AX: From Auto-Documented Policies to E2E Testing
raeminkang
0
520
Vapor Mode でアクセシビリティは 壊れないか検証した話
fuqda
1
320
TanStack Vue Query と Pinia Colada から学ぶ非同期状態の型設計
aoshi
0
610
全ての永続トークンを、生まれる前に消し去りたい!
sylph01
3
1.7k
学びを記事・スライド・Xへ高速展開する― AI-assisted Learning Loopで回すコンテンツ生成術
ochtum
0
190
Featured
See All Featured
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Between Models and Reality
mayunak
4
560
HTML-Aware ERB: The Path to Reactive Rendering @ RubyCon 2026, Rimini, Italy
marcoroth
5
890
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
6.2k
[RailsConf 2023] Rails as a piece of cake
palkan
59
7.1k
A Tale of Four Properties
chriscoyier
163
24k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
320
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
610
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
1.1k
The Mindset for Success: Future Career Progression
greggifford
PRO
0
560
The State of eCommerce SEO: How to Win in Today's Products SERPs - #SEOweek
aleyda
2
12k
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