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
ソフトウェア開発とコミュニケーション / Communication in Software ...
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Junichi Kobayashi
September 18, 2021
Programming
1.5k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
ソフトウェア開発とコミュニケーション / Communication in Software Development
Junichi Kobayashi
September 18, 2021
More Decks by Junichi Kobayashi
See All by Junichi Kobayashi
XP をバイブルにする事業部で10年働いた新卒が語りたい『Tidy First?』/ Put your understanding into the code
junk0612
0
110
rage against annotate_predecessor
junk0612
0
280
The Implementations of Advanced LR Parser Algorithm
junk0612
3
2.8k
「今のプロジェクトいろいろ大変なんですよ、app/services とかもあって……」/After Kaigi on Rails 2024 LT Night
junk0612
6
2.9k
LR で JSON パーサーを作る / Coding LR JSON Parser
junk0612
2
2k
「ナントカLR」を整理する / Clarifying LR Algorithms
junk0612
1
740
From LALR to IELR: A Lrama's Next Step
junk0612
2
5.3k
RubyConf Taiwan / Understanding Parser Generators surrounding Ruby with Contributing Lrama
junk0612
2
7.2k
LL法とLR法の違いは?調べてみた!-完全版-/Comparing LL and LR parse algorithm -EX Edition-
junk0612
0
2.7k
Other Decks in Programming
See All in Programming
カツオ、ご期待ください
suneo3476
0
180
全ての永続トークンを、生まれる前に消し去りたい!
sylph01
1
360
PumaからFalconに移行したRailsアプリケーションでの実践
falcon8823
0
110
When benchmarks go bad - what I learned from measuring performance wrong
hollycummins
0
210
コードレビューのボトルネックを"する側"と"される側"の両面から解消する
yub0n
2
1.6k
設計次第でAIコードの読む量は減らせる / designing-for-code-reading
minodriven
35
16k
外から家のPCの電源入れたい!をPHPで解決する
kawashimo0
1
130
Domain-Driven Transformation
hschwentner
2
2.3k
Agentic Software Factoryに、すごく賢いIF文を。 / super smart IF statement into the Agentic Software Factory.
rkaga
8
2.2k
mrbgem 三角測量 開発
ogom
0
240
C#の現在地 進化の歴史と、AI時代の.NET Everywhere
neuecc
5
5.1k
Unity6 URPによる海底をテーマにしたVJシステムの解説 | Unity Shader 完全に理解した 勉強会
gam0022
0
360
Featured
See All Featured
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
260
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
WENDY [Excerpt]
tessaabrams
14
40k
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
270
Facilitating Awesome Meetings
lara
57
7.2k
Making the Leap to Tech Lead
cromwellryan
135
10k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
Principles of Awesome APIs and How to Build Them.
keavy
128
18k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
400
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
1k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
280
Scaling GitHub
holman
464
140k
Transcript
ιϑτΣΞ։ൃͱ ίϛϡχέʔγϣϯ גࣜձࣾӬγεςϜϚωδϝϯτΞδϟΠϧࣄۀ෦ খྛ७Ұ !KVOL 91ࡇΓ POMJOF 4BU
খྛ७Ұ !KVOL
ࣗݾհ • খྛ७Ұ !KVOL • גࣜձࣾӬγεςϜϚωδϝϯτ ‣ ΞδϟΠϧࣄۀ෦3VCZº"HJMFάϧʔϓॴଐ •
ԻήʔϚʔɺϘʔυήʔϚʔ ‣ ͖ͳۂ%FTUJOZ4XPSE **%9 ‣ ͖ͳϘʔυήʔϜ4DZUIFେחઓ
None
None
࠷ॳʹ͓Θͼ
ιϑτΣΞ։ൃͱίϛϡχέʔγϣϯ • ༰͕ܾ·Γ͖ͬͯͳ͔ͬͨͷͰλΠτϧ͕େ͛͞ʹͳΓ·ͨ͠ • ࣗͷܦݧ͔ΒΛ͢ΔͷͰɺΞδϟΠϧ ಛʹ91 ʹݶͬͨ ʹͳΓ·͢ • ΥʔλʔϑΥʔϧܕͷେن։ൃͰΤοηϯε
͓࣋ͪؼΓ͍͚ͨͩΔͱࢥ͍·͕͢ʜʜ
ؾΛऔΓͯ͠
ιϑτΣΞ։ൃͱ ίϛϡχέʔγϣϯ גࣜձࣾӬγεςϜϚωδϝϯτΞδϟΠϧࣄۀ෦ খྛ७Ұ !KVOL 91ࡇΓ POMJOF 4BU 91ͳ
͓͠ͳ͕͖ • 91ʹ͓͚Δίϛϡχέʔγϣϯͱ • ࣮ࡍͷ։ൃͰֶΜͩίϛϡχέʔγϣϯͷॏཁੑ ‣ ্ख͍ͬͨ͘ࣄྫɾࣦഊͨ͠ࣄྫ • 91ͷϓϥΫςΟεΛίϛϡχέʔγϣϯͷࢹͰݟΔ
91ʹ͓͚Δ ίϛϡχέʔγϣϯͱ
ίϛϡχέʔγϣϯͷҐஔ͚ͮ • 91ͰʮՁʯͷҰͭ ‣ ίϛϡχέʔγϣϯ ‣ γϯϓϦγςΟ ‣ ϑΟʔυόοΫ ‣
༐ؾ ‣ ϦεϖΫτ
ίϛϡχέʔγϣϯͷҐஔ͚ͮ • ʮνʔϜʹΑΔιϑτΣΞ։ൃͰͬͱॏཁͳͷɺ ίϛϡχέʔγϣϯͰ͋Δɻʯ ‣ ʰΤΫετϦʔϜϓϩάϥϛϯάʱୈষQ • ଞͷՁͱີʹؔΘΔ ‣ ʮϑΟʔυόοΫίϛϡχέʔγϣϯʹ͔ܽͤͳ͍ʯ
‣ ʮ༐ؾΛ࣋ͬͯਅ࣮ΛޠΕɺίϛϡχέʔγϣϯ৴པ͕ ڧԽ͞ΕΔʯ
ίϛϡχέʔγϣϯͷޮՌ • ιϑτΣΞ։ൃɺίϛϡχέʔγϣϯͷ ળ͠ѱ͠ʹΑͬͯ༰қʹ݁Ռ͕ࠨӈ͞ΕΔ ‣ ఆظతͳ֬ೝͷ͓͔͛Ͱϝϯόʔͷঢ়گ͕Θ͔ͬͨ ‣ ઃܭҙਤ͕Θ͍ͬͯͳ͔ͬͨͷͰɺ ࡉ͔͍ͱ͜ΖͰஅϛεΛͯ͠͠·ͬͨ ‣
Ҏલίςϯύϯʹ٧ΊΒΕͯ͠·ͬͨͷ͕τϥϚͰɺ ٞʹ͚͍ܽͯΔॏཁͳࢹΛݴ͍ग़ͤͳ͔ͬͨ
ίϛϡχέʔγϣϯͷछྨ • νʔϜͷೝࣝΛἧ͑ΔͨΊʹଧͪ߹ΘͤΛ͢Δ • ேձɾ༦ձͰ͓ޓ͍ͷঢ়گΛ֬ೝ͢Δ • ϨϏϡʔΛͯ͠ରͷཧղΛิ͍߹͏ • ΑΓྑ͍ίϛϡχέʔγϣϯΛऔΔͨΊࡶஊΛదʹߦ͏ •
ະདྷͷࣗ৽ͨͳνʔϜϝϯόʔ͕ࠔΒͳ͍Α͏ʹ ઃܭҙਤΛυΩϡϝϯτԽ͠ɺ ࣮ҙਤΛϦʔμϒϧίʔυͱ͓ͯͯ͘͠͠
ίϛϡχέʔγϣϯͱ • ϓϩδΣΫτΛલʹਐΊΔͨΊʹߦΘΕΔશͯͷΓऔΓ ‣ ͋͘·ͰશͯͷతΑΓྑ͍ࣄΛ͢Δ͜ͱ ‣ ϦΞϧλΠϜͰ͋ΔͱݶΒͳ͍ ‣ ํͰ͋ΔͱݶΒͳ͍
։ൃ͔ΒֶΜͩ ίϛϡχέʔγϣϯͷ ॏཁੑ
લఏͱͳΔڥ • ࣮ࡍʹ։ൃΛߦ͏ϝϯόʔগਓ ‣ ʙ໊ఔ • ։ൃର3BJMTΞϓϦέʔγϣϯ ‣ ϑϩϯτΤϯυͷϑϨʔϜϫʔΫΛͬͨ͜ͱ͋Δ͕ 41"ͷܦݧͳ͍
‣ Πϯϑϥ"84ΦϯϓϨ)FSPLVͳͲ ϓϩδΣΫτʹΑΓ͞·͟·
લఏͱͳΔڥ • ։ൃख๏جຊతʹΞδϟΠϧ ‣ 91ϕʔε͔εΫϥϜϕʔε͔ϓϩδΣΫτʹΑΔ • ΠςϨʔγϣϯ εϓϦϯτ ʙिؒ ‣
ि࣍αΠΫϧ ‣ ΠςϨʔγϣϯ͝ͱʹ;Γ͔͑ΓͱݟੵΓ
લఏͱͳΔڥ • ϦϦʔεपظຖʙΠςϨʔγϣϯ͝ͱ ‣ σΠϦʔσϓϩΠ • ۠Γͷͨͼʹதظతͳ;Γ͔͑Γ ‣ ࢛ظαΠΫϧ ‣
େ͖ͳػೳͷϦϦʔεޙ͝ͱͳͲ
্ख͍ͬͨ͘ྫ
ى͖͍ͯͨ͜ͱ • ༏ઌॱҐʹैͬͯऔͬͨλεΫ͕ॳΊͯ৮Δػೳͷमਖ਼ͩͬͨ • ͦͷػೳ5ZQF4DSJQU3FBDUͰ࣮͞Ε͓ͯΓɺ ࠓ·ͰࣄͰ৮ͬͨ͜ͱ͕ͳ͘ෆ׳Εͩͬͨ
࣮ࡍʹͬͨ͜ͱ • ෆ׳ΕͰ͋Δ͜ͱΛൃݴͯ͠૬ஊͨ͠ ‣ ͍͕࣌ؒ͋ͬͨͷͰɺ׳Εͨਓʹότϯλονͤͣ ࣗͰΔ͜ͱʹͨ͠ • ଞʹෆ׳Εͳϝϯόʔ͕͍ͨͷͰ ৄ͍͠ਓͷ࣌ؒΛΒͬͯΈΜͳͰઆ໌Λฉ͍ͨ •
ಛʹ͍͠ͱ͜ΖϖΞϓϩͳͲͰ ॿ͚ͯΒͬͨ
͜ͷํ๏ΛऔΕͨഎܠ • ීஈ͔Βࡶஊ͕ͦΕͳΓʹଟ͔ͬͨͷͰ ͔͚͘͢͠૬ஊ͔ͬͨ͢͠ ‣ ϦϞʔτϫʔΫࣾձʹͳΔલͷͰ͢ ‣ ޙड़͠·͕͢ཧతʹ੮͕͔ۙͬͨͷ͋Γ·͢
͜ͷํ๏ΛऔΕͨഎܠ • ීஈ։ൃʹ͏ͷͱผͷ େ͖ͳσΟεϓϨΠ͕νʔϜʹͭ͋Γɺ ͦͷͰͪΐͬͱͨ͠ଧͪ߹ΘͤͳͲ͕Ͱ͖ͨ ‣ ேձ༦ձͰΧϯόϯ༻ͷ5SFMMPΛөͨ͠Γ ใຬࡌͷϫʔΫεϖʔε ɺ ίʔυΛө͠ͳ͕Βઆ໌ϞϒϓϩΛͨ͠Γ
͜ͷํ๏ΛऔΕͨഎܠ • ։ൃνʔϜͰౡʹͳͬͯ࠲͍ͬͯͨͷͰ શһಉ੮ ɺ ཧతʹڑ͕ۙ͘ϖΞϓϩͳͲͷରԠ͕औΓ͔ͬͨ͢
্ख͍͔͘ͳ͔ͬͨྫ
࣮ݱ͔ͨͬͨ͜͠ͱ • ճͷϦΫΤετͰ࠷େສ݅ͷϨίʔυΛ %#ʹ࡞͢ΔॲཧΛ࣮͢Δ ‣ ϚελΛจࣈྻͰ෦Ұகݕࡧ͠ɺ ΤϯυϢʔβʔͱͷؒʹଟରଟͷަࠩςʔϒϧΛ࡞͢Δ • ݟੵΓஈ֊Ͱɺ ࡞ۀྔଟ͍͕ͦΕ΄Ͳ͘͠ͳ͍λεΫͱࢥΘΕ͍ͯͨ
࣮ࡍʹىͬͨ͜͜ͱ • ࣮ͷஈʹͳͬͯߟྀ͖͕ͩͬͨ͢ଓग़͠ɺઃܭ͕໎ͨ͠ ‣ 8FCαʔόͷߴෛՙɾλΠϜΞτ ‣ %#ͷߴෛՙ ‣ ͔ͨ͠ɺಉ͡νέοτͰճ͘Β͍࣮Λ͕Βͬͱ ॻ͖͑·ͨ͠ʜʜ😭
8FCαʔόͷߴෛՙ • ສ݅ͷϨίʔυ࡞Λ͍ͬͯΔͱλΠϜΞτ͢Δ ‣ Ұఆ݅Ҏ্ώοτ͢Δ͜ͱ͕Θ͔ͬͨΒ ͦͷͰ࡞ΒͣόονॲཧΛ༧͢Δ͜ͱʹͨ͠ • %#Ͱͷจࣈྻݕࡧͷ݁ՌΛ͍ͬͯΔͱ ݅ͷώοτͰλΠϜΞτ͢Δ ‣
࠷ऴతʹશจݕࡧΤϯδϯʹಀ͕ͨ͠
%#ͷߴෛՙ • ୯७ʹສ݅ͷϨίʔυΛ࡞Δͷ͕͔͔࣌ؒΔ ‣ ͜ΕճආͰ͖ͳ͍ͷͰͤΊͯόονͰॲཧ͢Δ • จࣈྻͷ෦Ұகݕࡧ͕ඞཁͩͬͨͨΊ ΠϯσοΫε͕ޮ͔ͳ͍ ‣ લड़ͷ௨Γɺ%#ͰΒͳ͍͜ͱʹͨ͠
ݪҼੳ • ؚࣗΊɺଟछଟ༷ͳܦݧΛੵΜͰ͖ͨνʔϜϝϯόʔ͕ ू·͍ͬͯΔͷʹɺ͜ͷʹ୭ؾ͚ͮͳ͔ͬͨ Βͳ͔ͬͨ ͱߟ͑ʹ͍͘ • ͓ޓ͍͕ࢥߟͷ͖͔͚ͬʹͳΔΑ͏ͳ ίϛϡχέʔγϣϯΛेʹऔΕ͍ͯͳ͔ͬͨͷͰͳ͍͔ʁ ‣
ͦΕͳ͔ͥʹ͍ͭͯࠓޙͷݕূΛ͓ͪԼ͍͞
ࠒ࣮ફ͍ͯ͠Δ 91ͷϓϥΫςΟεΛ ίϛϡχέʔγϣϯͷ؍͔ΒݟΔ
ϖΞϓϩάϥϛϯά • ਓͰϖΞΛΈɺυϥΠόʔͱφϏήʔλʔͷׂʹ͔Εͯ ϓϩάϥϛϯά͢Δ
ϖΞϓϩάϥϛϯά • ਓͰϖΞΛΈɺυϥΠόʔͱφϏήʔλʔͷׂʹ͔Εͯ ϓϩάϥϛϯά͢Δ ‣ ࣮͠ͳ͕ΒϨϏϡʔΛಉ࣌ʹߦ͏ ‣ ϨϏϡʔίϛϡχέʔγϣϯͷछ
શһಉ੮ • νʔϜશһ͕ཧతʹ͍ۙॴ Ͱ͖Ε෦ ͰࣄΛ͢Δ
શһಉ੮ • νʔϜશһ͕ཧతʹ͍ۙॴ Ͱ͖Ε෦ ͰࣄΛ͢Δ ‣ ίϛϡχέʔγϣϯΛ༠ൃ͘͢͢͠Δ ‣ ϦϞʔτϫʔΫͰ࣮ݱͰ͖ͳ͍ͷͰɺͤΊͯςΩετνϟοτ ϘΠενϟοτΛ׆༻͢Δ
UJNFTνϟϯωϧͳͲ
ि࣍αΠΫϧ • ຖि ֤ΠςϨʔγϣϯ ͝ͱʹ;Γ͔͑Γͱ ࣍ͷΠςϨʔγϣϯͷݟੵΓΛߦ͏
ि࣍αΠΫϧ • ຖि ֤ΠςϨʔγϣϯ ͝ͱʹ;Γ͔͑Γͱ ࣍ͷΠςϨʔγϣϯͷݟੵΓΛߦ͏ ‣ ͜·ΊͳใಉظΛͯ͠ίϛϡχέʔγϣϯΛ ൃੜͤ͞Δ
࢛ظαΠΫϧ • ࢛ظ͝ͱʹܭըΛཱͯɺ͜͜·Ͱ͖ͬͯͨ͜ͱΛ;Γ͔͑Δ
࢛ظαΠΫϧ • ࢛ظ͝ͱʹܭըΛཱͯɺ͜͜·Ͱ͖ͬͯͨ͜ͱΛ;Γ͔͑Δ ‣ ͭͷςʔϚͰ͠߹͏ػձΛ૿͢ ‣ தظతͳهԱҙ֎ͱͳ͘ͳΓ͍͢ͷͰɺ ීஈ͔Β͜·Ίʹه͓ͯ͘͠ͱྑ͍
ใຬࡌͷϫʔΫεϖʔε • ࠓͷϓϩδΣΫτͷঢ়گ͕ͻͱͰ͔Δ ϫʔΫεϖʔε ΧϯόϯͳͲ Λ࡞Δ
ใຬࡌͷϫʔΫεϖʔε • ࠓͷϓϩδΣΫτͷঢ়گ͕ͻͱͰ͔Δ ϫʔΫεϖʔε ΧϯόϯͳͲ Λ࡞Δ ‣ ঢ়گΛՄࢹԽ͠ɺͨ͘͠ͳ͍ࣄฑΛ ͟͞ΔΛಘͳ͍Α͏ʹ͢Δ
΄͔ͷՁͰ ϓϥΫςΟεΛݟ͢ͱ ࢥΘ͵ൃݟ͕͋Δ͔ʁ
·ͱΊ • ίϛϡχέʔγϣϯϓϩδΣΫτΛલʹਐΊΔͨΊʹ ߦΘΕΔશͯͷΓऔΓ • ίϛϡχέʔγϣϯΛ্ख͘औΕΔͱେ͖ͳϝϦοτ͕͋Δ͠ɺ ࣦഊͨ͠Βେมͳ͜ͱʹͳΔ • ࠒ࣮ફ͍ͯ͠Δ91ͷϓϥΫςΟεΛɺίϛϡχέʔγϣϯͷ ؍Ͱଊ͑ͯ͠հ