The Secret to Developer Productivity: Based on a conversation with a deep-learning model

Laffra, Chris

ISBN 13: 9798366944311

Edité par Independently published, 2022

A propos de cet article

Zustand: Hervorragend | Seiten: 94 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 42155425/1

Détails bibliographiques

• Titre: The Secret to Developer Productivity: Based on a conversation with a deep-learning model
• Éditeur: Independently published
• Date de parution: 2022
• Langue: anglais
• ISBN à 13 chiffres: 9798366944311
• Reliure: Couverture souple
• État de l'article: Hervorragend

A propos de ce titre

Synopsis

Table of Contents:

• Introduction 5 (for a preview, see https://c4e.education)
  • Developer Productivity 9
  • 10X Developer 11
  • Myths 12
  • DORA 15
  • The SPACE framework 18
  • Flow and Deep Work 21
• Collaboration 27
  • Project Aristotle 30
    • Planning 32
    • Sprint Planning 33
    • Standups 34
    • Retrospectives 36
    • Velocity 37
    • Planning and Personal Productivity 38
  • Meetings 39
• Emotions 43 (for a preview, see https://c4e.education)
  • Conflicts 45
  • Active Listening 47
  • Stress 48
  • Imposter Syndrome 50
  • Burnout 52
• Communication 56
  • Communication for Engineers 58
  • Facts 59
  • Conviction 64
  • Transparency 67
  • Consistency 69
  • Direction 71
• Personal Productivity 75
  • Focus 77
  • Result-driven 79
  • Efficiency 83
  • Empathy 87
• Conclusion 89 (for a preview, see https://c4e.education)
• Disclaimer 93

Developer productivity measures how efficiently and effectively a software developer can produce code. This can include factors such as the speed at which the developer can write and test code, the quality of the code produced, and the ability of the developer to work well with other members of the development team. Improving developer productivity can involve a range of strategies and techniques, such as setting clear goals, staying organized, minimizing distractions, and continuously learning and improving skills. Ultimately, the goal of increasing developer productivity is to help developers produce high-quality code more efficiently, meet project deadlines, and deliver value to stakeholders.

This book explores the subject of developer productivity in the form of a conversation between Chris Laffra, a software developer, and ChatGPT, a large language model trained by OpenAI to assist with generating human-like text. ChatGPT is a specific type of language model optimized for generating text in the context of a conversation and can be used to assist with tasks such as answering questions, providing explanations, and generating responses to user input.

The entire content of the book was generated by ChatGPT at chat.openai.com/chat, while Chris just organized the content and asked the right questions. The end result is an excellent summary of developer productivity in one place, saving you a lot of Googling, which makes you more productive as an engineer. To reinforce the topic of developer productivity, this book was written in one Sunday afternoon, from start to self-publishing on Amazon.