Overview

Software development is undergoing a quiet but irreversible transformation. AI is no longer just a productivity tool-it is becoming the execution layer of software creation. Code can now be generated, refactored, tested, and shipped faster than ever. In this new reality, syntax and frameworks are no longer the primary source of value. In Abstract Coding: Coding in the Age of AI, Chirag Kansara explains what this shift truly means for developers, technical leaders, and product builders. Drawing from hands-on experience building AI-driven systems, the book explores why ""knowing how to code"" is no longer enough-and how the most valuable professionals are moving up the stack, from writing code to designing systems, defining intent, and owning outcomes. Inside the book, you'll discover: Why traditional coding roles are shrinking despite growing software demand How AI is redefining what valuable developer work looks like Why resistance to AI is often emotional rather than technical How to work with AI without losing control, quality, or accountability What skills will remain scarce-and valuable-in an AI-augmented future This is not a book about hype or fear. It is a practical guide for those who want clarity, adaptability, and long-term relevance in an AI-first world. The age of execution is ending. The age of intent has begun.

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