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
Running Mob Programming - How we made our team ...
Search
Ikuo Suyama
August 07, 2019
Programming
0
2.3k
Running Mob Programming - How we made our team x 4 faster!
Agile2019 at D.C. Lightning Talk
Running Mob Programming, How we made our team x 4 faster!
Ikuo Suyama
August 07, 2019
Tweet
Share
More Decks by Ikuo Suyama
See All by Ikuo Suyama
[zh-TW] DevOpsDays Taipei 2025 -- Creating Awesome Change in SmartNews!(machine translation)
martin_lover
1
1k
DevOpsDays Taipei 2025 -- Creating Awesome Change in SmartNews!
martin_lover
1
480
Creating Awesome Change in SmartNews! En
martin_lover
0
130
Creating Awesome Change in SmartNews
martin_lover
1
660
Dive into JVM JIT Compiler
martin_lover
2
240
InvokeDynamic完全に理解した / Completely Understand InvokeDynamic
martin_lover
0
950
10分で完全に理解するInvokeDynamic / 10min To Understand InvokeDynamic
martin_lover
0
850
High Performance FastAPI EN
martin_lover
0
1.1k
High Performance FastAPI
martin_lover
17
9.2k
Other Decks in Programming
See All in Programming
Go製CLIツールをnpmで配布するには
syumai
2
1.1k
「次に何を学べばいいか分からない」あなたへ──若手エンジニアのための学習地図
panda_program
3
710
テスターからテストエンジニアへ ~新米テストエンジニアが歩んだ9ヶ月振り返り~
non0113
2
250
Vibe Codingの幻想を超えて-生成AIを現場で使えるようにするまでの泥臭い話.ai
fumiyakume
21
10k
AI Ramen Fight
yusukebe
0
120
AWS Summit Japan 2024と2025の比較/はじめてのKiro、今あなたは岐路に立つ
satoshi256kbyte
1
260
[Codecon - 2025] Como não odiar seus testes
camilacampos
0
100
Reactの歴史を振り返る
tutinoko
1
170
あまり知られていない MCP 仕様たち / MCP specifications that aren’t widely known
ktr_0731
0
220
Claude Code と OpenAI o3 で メタデータ情報を作る
laket
0
110
대규모 트래픽을 처리하는 프론트 개발자의 전략
maryang
0
110
「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
110
Featured
See All Featured
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
332
22k
The Pragmatic Product Professional
lauravandoore
36
6.8k
Fantastic passwords and where to find them - at NoRuKo
philnash
51
3.4k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
7
790
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
8
750
Building a Scalable Design System with Sketch
lauravandoore
462
33k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
34
6k
Gamification - CAS2011
davidbonilla
81
5.4k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
Documentation Writing (for coders)
carmenintech
73
5k
GitHub's CSS Performance
jonrohan
1031
460k
Transcript
Running Mob Programming How we made our team x 4
faster
Ikuo Suyama @martin_lover_se ➔ From Tokyo, Japan ➔ ’LODEO’, CyberAgent
➔ Backend Engineer ➔ Apprentice Agile Coach
Mob Programming "Mob Programming A Whole Team Approach" Agile 2014,
Woody Zuill “On the same thing... At the same time... In the same place... On the same computer...
Our Mobbing Style
Our Mobbing Style ➔ Session ◆ 1 Session is 45
min ◆ Taking 5 - 10 min rest at each session ➔ Changing Driver frequently by timer ◆ Changing driver at 5 - 15 min ◆ All participants can be a driver at each session For keeping Concentration
Our Mobbing Style “for an idea to go from your
head into the computer, it MUST go through other's agreement. The driver can also join the discussion
Just following these rules, Our results x 2 faster than
ever!
X 2…?
X 4, wasn’t it…?
Yes, We SCALE our Mob.
Initial Approach: Scale-UP ➔ start from 3 people ➔ Increment
to 6 people...
Scale-UP: Problem Efficiency (1 / leadtime) Number of people Note:
This data is NOT accurate
Note: This data is NOT accurate ➔ It doesn’t scale
linearly ➔ Sweet spots is 3 - 4 people Scale-UP: Problem Low Resource Efficiency Resource Efficiency is getting worse
The Solution: Scale-OUT
Scale-OUT: Synced-Mob
Scale-OUT: Synced-Mob Keep the lines of communication open
2 mobs work together! Scale-OUT: Synced-Mob On the same thing...
At the same time... In the same place... But different tasks
Scale-OUT: Synced-Mob Reducing Sync point ➔ Mob Feature planning ◆
Independently Task Slicing ➔ Mob interface design & implementation ◆ Starting define interface with all
Scale-OUT: Synced-Mob X2 FASTER!! X2 FASTER!! Quite simple, but it
works well!!
If we got only 5 people…?
Like This…?
Oops! JOYFUL! EXHAUSTED…
Oops! JOYFUL! EXHAUSTED… Tend to Avoid…
Solution: Double-Linked Mob
Double-Linked Mob <This is HIGHLY EXPERIMENTAL!> Same effectivity as 3-3
synced mobs! ➔ Linking-Navigator ◆ 2 Mobs connect with navigator ◆ Rotate linking-navigator at each session ◆ Easy to found problems between each mobs
1/2 lead-time mob, X 2 parallel we got x 4
faster!
➔ Using Mob, we got x 2 faster ➔ To
achieve x 4 faster ◆ Scale-UP • Cause low-resource efficiency ◆ Scale-OUT • Synced-Mob • Double-Linked Mob <Experimental!> Conclusion
Twitter: @martin_lover_se Thank you for your kind attention!