Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
より良いターミナルでの生活を求めて
Search
takashabe
August 23, 2024
Technology
0
57
より良いターミナルでの生活を求めて
社内LT会で話した資料です
takashabe
August 23, 2024
Tweet
Share
More Decks by takashabe
See All by takashabe
OpenCensusでcustom context propagationとexporterを書いた話 / OpenCensus with custom context propagation and exporter
takashabe
0
1.8k
pubsub with concurrent
takashabe
1
930
社内ISUCONを開催した話
takashabe
0
1.7k
ISUCON大反省会
takashabe
0
1.9k
gitのブランチ戦略
takashabe
8
6k
サルでもわかるgit
takashabe
0
1.5k
playで複数DBする
takashabe
0
1.6k
MySQLで高トラフィックに立ち向かう
takashabe
0
1.8k
GitHubの良さ
takashabe
2
2.2k
Other Decks in Technology
See All in Technology
アプリにAIを正しく組み込むための アーキテクチャ── 国産LLMの現実と実践
kohju
0
170
普段使ってるClaude Skillsの紹介(by Notebooklm)
zerebom
6
1.7k
接客歴・営業歴の方が長いエンジニアから見たre:Invent2025
yama3133
0
100
業務のトイルをバスターせよ 〜AI時代の生存戦略〜
staka121
PRO
2
240
コンテキスト情報を活用し個社最適化されたAI Agentを実現する4つのポイント
kworkdev
PRO
1
1.8k
Strands Agents × インタリーブ思考 で変わるAIエージェント設計 / Strands Agents x Interleaved Thinking AI Agents
takanorig
4
1.6k
MLflowダイエット大作戦
lycorptech_jp
PRO
1
160
ExpoのインダストリーブースでみたAWSが見せる製造業の未来
hamadakoji
0
180
会社紹介資料 / Sansan Company Profile
sansan33
PRO
11
390k
Database イノベーショントークを振り返る/reinvent-2025-database-innovation-talk-recap
emiki
0
250
AIエージェント開発と活用を加速するワークフロー自動生成への挑戦
shibuiwilliam
4
740
Identity Management for Agentic AI 解説
fujie
0
330
Featured
See All Featured
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
34
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
0
170
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
2
3.4k
How to Align SEO within the Product Triangle To Get Buy-In & Support - #RIMC
aleyda
1
1.3k
Designing for humans not robots
tammielis
254
26k
The Art of Programming - Codeland 2020
erikaheidi
56
14k
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
[RailsConf 2023] Rails as a piece of cake
palkan
58
6.2k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
231
22k
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.6k
What the history of the web can teach us about the future of AI
inesmontani
PRO
0
370
My Coaching Mixtape
mlcsv
0
8
Transcript
ΑΓྑ͍λʔϛφϧͰͷੜ׆Λ ٻΊͯ @takashabe CastingONE inc.
$ whoami • @takashabe • https://github.com/takashabe • https://bsky.app/pro fi le/takashabe.bsky.social
• Software Engineer • Keyboard • crkbd v3 + corchim + HMX XINHAI 45g • ଧ伴ײɺଧ伴Իͱʹ࠷ߴ • HMXΛࢼ͢ͷָ͕͍͠
Agenda • ීஈͷੜ׆ελΠϧ • QOLΛ্͛ͯ͘Εͨπʔϧͷհ • ·ͱΊ
ීஈͷੜ׆ελΠϧ
ීஈͷੜ׆ελΠϧ • ࣄmacOS • Space 4ຕݻఆ • display 1 •
space 1: terminal (·Εʹvscode, zed) • space 2: ϒϥβ • display 2 • 3: obsidian, pomodoro • 4: slack, gather • ։ൃશ෦terminal • ϖΞϓϩͷͱ͖vscode, neovimյΕͨͱ͖ʹzed
QOL্ʹͭͳ͕ͬͨπʔϧ15બ
QOL্ʹͭͳ͕ͬͨऔΓΈ͋Δ͍πʔϧ15બ 1. fuzzy fi nder 2. ghr 3. z 4.
prompt 5. fi sh-shell 6. terminal multiplexer 7. gcloud con fi g con fi grations 8. history 9. history merge 10.notify long running command 11.Amazon Q (CLI completion) 12.all-in-one 13.yabai 14.skhd 15.(neo)vim
fuzzy fi nder • https://github.com/junegunn/fzf • ԿΒ͔ͷϦετΛιʔεʹͯ͠ɺ͔ͦ͜ΒબͰ͖ΔUI Λఏڙ͢Δπʔϧ • ਪ͠ϙΠϯτ
• ແݶͷՄೳੑ͕͋Δɻඇৗʹ൚༻ੑͷߴ͍֓೦ • Φεεϝ 🌟🌟🌟🌟🌟
ghq • https://github.com/x-motemen/ghq • ϦϙδτϦཧΛҰׅཧ͢ΔͨΊͷπʔϧ • ਪ͠ϙΠϯτ • Կͱͳ͘࡞ͬͯཧ͍ͯͨ͠ `~/workspace`
ͱ͔͕ΑΓ ͍͘͢ͳΔ • ghq rootԼʹશͯू͞ΕΔͨΊɺͲ͜Ͱγϡοͱ cloneͰ͖Δ • fuzzy fi nderͱͷ૬ੑൈ܈ • Φεεϝ 🌟🌟🌟🌟🌟
z • https://github.com/rupa/z • ࣮ࡍʹ fi sh-shell൛ΛͬͯΔ • https://github.com/jethrokuan/z •
cdͷཤྺΛஷΊͯɺϦετͨ͠Βδϟϯϓͨ͠ΓͰ͖Δ • ਪ͠ϙΠϯτ • σΟϨΫτϦʹඈΜͩճස͔Βྑ͍ײ͡ʹείΞ Λ͚ͯཧͯ͘͠ΕΔ • fuzzy fi nderͱͷ૬ੑൈ܈ • Φεεϝ 🌟🌟🌟🌟🌟
prompt • https://github.com/takashabe/ fi sh-pretty-theme • Έͳ͞Μ͝ଘ͡ͷPS1͍͘͡Δͭ • ͷ΄Ͳπʔϧ͕͋Δ͚Ͳɺࣗͷཉ͍͕ͭ͠ཉ ͔ͬͨ͠ͷͰࠓࣗ࡞ΛͬͯΔ
• ͠σϑΥϧτͷ··ͬͯΔਓԿ͔͠ΒͷπʔϧΛ ೖΕͯΈΔ͜ͱΛΦεεϝ͠·͢ • https://github.com/starship/starship • https://github.com/sorin-ionescu/prezto
fi sh-shell • https://github.com/ fi sh-shell/ fi sh-shell • Friendly
Interactive SHell ͷུ • POSIXޓΛࣺͯڈͬͯɺφ͍γϯλοΫεͰεΫϦϓτ ͕ॻ͚ͨΓɺ࠷ॳ͔Βิ͕ޮ͍ͨΓͯ͠ศར • man͔ΒิΛ࡞ͬͯ͘ΕΔͷͰɺݸผʹϓϥάΠϯΛೖ ΕΔඞཁ͕ͳ͍ • Φεεϝ 🌟🌟🌟 • γΣϧεΫϦϓτॻ͘ͱ͖Ͳ͏ͤBash४ڌͳͷͰɺ fi sh ͷจ๏͍ͭ·Ͱܦ֮ͬͯ͑ͳ͍
terminal multiplexer • https://github.com/tmux/tmux • λʔϛφϧΛηογϣϯɺΟϯυɺϖΠϯʹׂͯ͠ཧ͢Δ͜ ͱ͕ग़དྷΔ • λʔϛφϧ ⊃
ηογϣϯ ⊃ Οϯυ ⊃ ϖΠϯ • ਪ͠ϙΠϯτ • iTerm2ʹ͋Δλϒͱ͔ϖΠϯͱ͔ΛͲͷλʔϛφϧιϑτΣΞͰ ͑Δ • ηογϣϯλʔϛφϧ͕ऴྃͯ͠ΔͷͰɺޡͬͯλʔϛφϧ Λམͱͯ͠ΕΔ • Φεεϝ 🌟🌟🌟🌟 • ߴػೳͳλʔϛφϧιϑτΣΞΛ͏ͷͰ͋Εخ͠͞ݮ
gcloud con fi g con fi grations • https://cloud.google.com/sdk/gcloud/reference/con fi
g/ con fi gurations • ෳͷΞΧϯτɾϓϩδΣΫτΛཧͰ͖Δ • ਪ͠ϙΠϯτ • ෳͷGoogle cloudϓϩδΣΫτΛ͏ͱ͖؆୯ʹΓସ͑ Ͱ͖Δ • Φεεϝ 🌟🌟 • χονͳ༻్ͳͷͰ2 • ࣄͰίϚϯυଧͭͱ͖ࣄނࢭͷͨΊ —project ͚͕ͪ ͳͷͰɺ࣮͋Μ·Γସ͑ͳ͍
history • https://man.archlinux.org/man/history.n • ͍ΘΏΔ C-r Ͱݕࡧ͢ΔίϚϯυཤྺ • ੜ׆ඞध •
Φεεϝ 🌟🌟🌟🌟🌟
history merge • https://gist.github.com/calexandre/ 63547c8dd0e08bf693d298c503e20aab • fi sh-shellͩͱ • ਪ͠ϙΠϯτ
• tmuxͳͲΛͬͯෳͷηογϣϯΛ։͍͍ͯΔͱ͖Ͱɺཤྺ ͕ಉظͰ͖ͯศར • Φεεϝ 🌟🌟🌟🌟
notify long running command • https://github.com/marzocchi/zsh-notify • NඵҎ্͔͔ͬͨίϚϯυΛ௨ηϯλʔʹඈ͢ • fi
sh-shellͩͱ fi sh_preexec, fi sh_postexecͳͲΈ߹ Θͤͯॻ͚Δ • ਪ͠ϙΠϯτ • make test • yarn test • Φεεϝ 🌟🌟🌟🌟🌟
Amazon Q (CLI completion) • https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command- line-autocomplete.html • ੲ fi
g https:// fi g.io/ ͩͬͨͷ • ਪ͠ϙΠϯτ • ଟ͘ͷίϚϯυΛαϙʔτ͍ͯ͠ΔͷͰɺେମΧόʔ͞ΕͯΔ • fi sh-shellσϑΥϧτͰྑ͍ײ͡ʹิͯ͘͠ΕΔ͕man͕ͳ͍ͱπϥ͍ • gcloudͳͲઐ༻ͷcompletionεΫϦϓτΛϩʔυ͠ͳ͚ΕͳΒͳ ͍ • Φεεϝ 🌟🌟 • ิΟϯυ͕अຐʹͳΔ͜ͱ͕ଟ͍ • fi shͷͦΕΑΓࢹೝੑ͕ѱ͍
all-in-one • https://starship.rs/ • https://www.warp.dev/ • https://code.visualstudio.com/ • https://www.lazyvim.org/ •
͍ΘΏΔશ෦ೖΓͷπʔϧ܈ • શ෦͍Βͳ͍ʹͯ͠ϙΠϯτͰʮ͜Εศརͦ͏ʂʯΈ͍ͨͳώϯ τ͕ଟ͍ • ͱΓ͋͑ͣ࠷ॳʹ͞ΘΔͱ͖ʹΦεεϝ • ͨͩ͠ϋϚΔͱແݶʹπϥ͍ҹɻྫ͑LazyVimͷͩͱࢥͬ ͍࣮ͯͯૉͷNeovimଆͷઃఆͰͨ͠ɺͱ͔ • Φεεϝ 🌟🌟🌟🌟
yabai • https://github.com/koekeishiya/yabai • macOSͷtiling window manager • ΟϯυΛॏͶͣʹฒͯදࣔͰ͖ͨΓɺSpaceͷҠಈ͕ γϡοͱग़དྷͨΓ͢Δ
• ਪ͠ϙΠϯτ • ͍ͭͷ࡞ۀڥΛ࠶ݱ͍͢͠ • ޙड़ͷskhdΛ͏ͱجຊతʹΩʔϘʔυ͔ΒखΛ͞ͳͯ͘ ྑ͍ • Φεεϝ 🌟🌟 • Έ͕͔ΕΔ
skhd • https://github.com/koekeishiya/skhd • hotkeyΛཧ͢Δ͜ͱ͕ग़དྷΔπʔϧ • karabiner-elementsͳͲͱಉׅ͡Γ͕ͩɺઃఆϑΝΠ ϧ͕ॻ͖͍͢ • ࡞ऀ͕ಉ͡ͳͷͰɺେyabaiͱҰॹʹΘΕΔ
• Φεεϝ 🌟🌟🌟🌟
(neo)vim • https://github.com/vim/vim • https://github.com/neovim/neovim • ແݶͷՄೳੑΛൿΊͨΤσΟλ • neovimΛ͍ͬͯ·͢ •
Φεεϝ 🌟 🌟 🌟 🌟 • ͍ͭΦεεϝͯ͠ΔΤσΟλvscodeͰ͢
·ͱΊ
·ͱΊ • λʔϛφϧ(Ͱͳ͍ͷࠞͬͯ͡·͕ͨ͠)ੜ׆ͷQOL ্ʹཱͭπʔϧͷհΛ͠·ͨ͠ • ৼΓฦΔͱ͕ࣗΩʔϘʔυͰ݁Ͱ͖Δڥʹڵຯ͕͋ Δ͜ͱ͕͔Δ • Fuzzy fi
ndercompletionΊͪΌͪ͘Ό͏ • Կ͔ͩΜͩઃఆૢ࡞͖֮͑Εͳ͍͠ɺcompletion͔ Β৽ͨͳൃݟΛ͢Δ͜ͱ͋Δ • ϓϥΠϕʔτͰArchLinux + i3Λ͍ͬͯΔͷͰͦͷӨ ڹେ͖ͦ͏