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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Chirag Kansara
Chirag Kansara is a technology author and AI-focused thinker whose work explores how artificial intelligence is reshaping professions, industries, and human decision-making.
He is the author of multiple books spanning AI in law, HR, software development, ethics, cybersecurity, and digital transformation—including The AI-Driven Lawyer, AI in HR, AI on Trial, The AI Alchemist, Outsourcing Odyssey, and Refactoring. Across both fiction and non-fiction, his writing consistently examines the intersection of technology, responsibility, and real-world impact.
With a practical, systems-oriented perspective, Chirag writes for professionals navigating rapid technological change—not from theory, but from applied understanding. His work is known for cutting through hype to focus on adaptability, judgment, and long-term relevance in an AI-driven world.
In Abstract Coding, he brings these themes together to address one central question: what it truly means to be a developer in the age of AI.
