GenAI is fundamentally changing the world of software development like nothing since the internet. Vibe Coding is a first-of-its-kind, groundbreaking book that shows developers how to embrace this new frontier.
Science fiction is now reality. Programmers no longer need to toil over code and syntax. They can now describe what they want and watch it materialize instantly. Welcome to the future—Vibe Coding.
In this groundbreaking book, industry veterans Steve Yegge (Google, Amazon, Sourcegraph) and WSJ bestselling author Gene Kim (The Phoenix Project and The DevOps Handbook) reveal how vibe coding is transforming software development as we know it. By leveraging the power of AI assistance—where intent and flow matter more than syntax—developers can achieve unprecedented levels of productivity, creativity, and joy.
Drawing from decades of combined experience in software engineering and developer productivity, Yegge and Kim demonstrate how Vibe Coding enables developers to:
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Gene Kim has been studying high-performing technology organizations since 1999. He was the founder and CTO of Tripwire, Inc., an enterprise security software company, where he served for 13 years. His books have sold over 1 million copies—he is the WSJ bestselling author of Wiring the Winning Organization, The Unicorn Project, and co-author of The Phoenix Project, The DevOps Handbook, and the Shingo Publication Award-winning Accelerate. Since 2014, he has been the organizer of DevOps Enterprise Summit (now Enterprise Technology Leadership Summit), studying the technology transformations of large, complex organizations.
Steve Yegge is an American computer programmer and blogger known for writing about programming languages, productivity, and software culture for two decades. He has spent over thirty years in the industry, split evenly between dev and leadership roles, including nineteen years combined at Google and Amazon. Steve has written over a million lines of production code in a dozen languages, has helped build and launch many large production systems at big tech companies, has led multiple teams of up to 150 people, and has spent much of his career relentlessly focused on making himself and other developers faster and better. He is currently at Sourcegraph, working on AI coding assistants.
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