Docs-as-Ecosystem : the community approach to engineering documentation / Alejandra Quetzalli.
2023
TK7885 .Q47 2023
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Docs-as-Ecosystem : the community approach to engineering documentation / Alejandra Quetzalli.
ISBN
9781484293287 (electronic bk.)
1484293282 (electronic bk.)
1484293274
9781484293270
1484293282 (electronic bk.)
1484293274
9781484293270
Published
Berkeley, CA : Apress, 2023.
Language
English
Description
1 online resource (xxvi, 242 pages) : illustrations (some color)
Item Number
10.1007/978-1-4842-9328-7 doi
Call Number
TK7885 .Q47 2023
Dewey Decimal Classification
004.01/4
Summary
Investing in engineering documentation (Docs) means investing in community user experience. This book teaches readers how mastering the docs-as-code ecosystem empowers communities to understand better their favorite products and Open-Source (OSS) technologies better. Author Alejandra Quetzalli believes that "docs-as-ecosystem" represents a more comprehensive and collaborative approach to documentation development than "docs-as-code" because it recognizes that documentation is more than just code. Docs involve technical writing, design, community feedback, community management, accessibility, SEO, UX, and today... even Artificial Intelligence tools! The word ecosystem promotes a paradigm where we treat documentation as a complex and dynamic system that must be managed and nurtured. In this book, you'll acquire practical skills such as creating public style guides, incorporating responsive and accessible design, designing user flows and information architecture, retrieving user feedback, and setting up Docs analytics. You'll learn to identify the difference in work processes between maintaining Docs for a product versus an OSS technology. You'll discover the secrets to managing technical writers and OSS contributions, all while building a thriving Docs community. To end on a futuristic note, you'll discover why technical writers who harness Artificial Intelligence (AI) tools (i.e., ChatGPT) need not fear a robot uprising anytime soon.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 22, 2023).
Available in Other Form
Print version: 9781484293270
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Table of Contents
Chapter 1: Accessibility
Chapter 2: Information Architecture
Chapter 3: SEO
Chapter 4: UI Design
Chapter 5: Documenting APIs
Chapter 6: Documenting SDKs
Chapter 7: Integrating your Docs into CI/CD pipelines
Chapter 8: Make your style guide public
Chapter 9: Open Source contributions
Chapter 10: Retrieve customer feedback and analytics
Chapter 11: Prioritize documentation requests
Chapter 12: Open community communication channels
Chapter 13 - ChatGPT and AI
Appendix A: Engineering Documentation Templates.
Chapter 2: Information Architecture
Chapter 3: SEO
Chapter 4: UI Design
Chapter 5: Documenting APIs
Chapter 6: Documenting SDKs
Chapter 7: Integrating your Docs into CI/CD pipelines
Chapter 8: Make your style guide public
Chapter 9: Open Source contributions
Chapter 10: Retrieve customer feedback and analytics
Chapter 11: Prioritize documentation requests
Chapter 12: Open community communication channels
Chapter 13 - ChatGPT and AI
Appendix A: Engineering Documentation Templates.