Code with the Wisdom of the Crowd (Pragmatic Bookshelf)
Thursday, 23 August 2018

This book aims to show how to build systems faster and more effectively with Mob Programming where a group of people work together at a single machine. Author Mark Pearl shows how to avoid the most common pitfalls that teams make when first starting out, along with what it takes to create and support a successful mob. The theme of the book is that mob programming is a natural extension of the popular Pair Programming concept, and is not restricted to a specific programming language or technology.

 

Author: Mark Pearl
Publisher: Pragmatic Bookshelf
Date: July 2018
Pages: 124
ISBN: 978-1680506150
Print: 1680506153
Kindle:  B07GNVXWQ3
Audience: Developers interested in mob programming
Level: Intermediate
Category: Methodology

 

  • Set up your team for success by introducing Mob Programming in a way that benefits them.
  • Create a good first Mobbing experience for your team with a template that avoids the common traps beginners may fall into.
  • Master a collaborative and empathic mindset to help optimize the Mobbing experience.
  • Learn how to make adjustments when things go wrong. Adapt your mobbing to different types of development tasks.
  • Get management buy-in for your Mobbing experiment by demonstrating the benefits.
  • Discover the equipment and resources you need, and how to adjust your workspace for an effective mob.

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Microsoft Azure For Dummies, 2nd Edition

Author: Jack A. Hyman
Publisher: For Dummies
Pages: 416
ISBN: 978-1119898061
Print:1119898064
Kindle: B0BNWG1HYK
Audience: Azure novices?!
Rating: 1 or 4.5 (see review)
Reviewer: Ian Stirk

This book aims to provide a gentle yet thorough introduction to Microsoft Azure, how does it fare? 



Artificial Intelligence For Developers (In Easy Steps)

Author: Richard Urwin
Publisher: In Easy Steps
Date: September 2024
Pages: 192
ISBN: 978-1787910119
Print: 1787910113
Kindle: B0DBHZRZGM
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
So many books on AI why another?


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