Prompting C for Systems Programming

Don't Memorize C. Prompt It. Run It. Understand It.

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● Prompt-driven C learning using ChatGPT, GitHub Copilot, Claude, and CodeWhisperer.
● Hands-on C mini projects built through AI-assisted writing, debugging, and refactoring.
● Transferable prompting framework for learning any programming language after C.

Book Description
Most people give up on C before they write a program. The syntax feels arbitrary, the errors are cryptic, and the feedback loop between writing and understanding is painfully slow. Prompting C for Systems Programming changes that entirely by putting AI alongside you from the very first line — explaining what the code does, fixing what breaks, and helping you build real programs before you feel ready.

Each chapter follows one simple loop: prompt, run, understand, improve. You use ChatGPT, GitHub Copilot, Claude, and Amazon CodeWhisperer to write C programs, understand how they work, debug compile-time and runtime errors, work with real data through files, structures, and memory, and complete mini projects that actually do something useful. No syntax memorization. No passive reading. Just you, AI, and a C compiler doing real work together from chapter one.

By the end of the book, you will write reliable C programs with genuine confidence, and carry forward a transferable AI-assisted prompting framework you can apply to any programming language you choose to tackle next!

What you will learn
● Use AI as a personal C programming tutor, pair programmer, reviewer, and debugging assistant.
● Set up a complete C development environment and write your first programs using AI guidance.
● Write, compile, execute, and modify practical C programs with growing independence and confidence.
● Debug compile-time, runtime, and logical errors in C programs using AI-assisted techniques.
● Build real-world C mini-projects through a structured AI-assisted development workflow.
● Apply prompt engineering techniques to accelerate learning of future programming languages.

1. Setting up Your C Thinking Partner
2. Getting C Running without Knowing What You Are Doing
3. Prompting Your First Useful C Program
4. Understanding Code by Asking Smarter Questions
5. Working with Real Data: Files, Structures, and Memory
6. Building a Real-World Mini Project in C
7. Debugging, Improving, and Refactoring with AI
8. Thinking beyond C: A Transferable Prompt-Driven Learning System
Index

Dr. Rupali Chopade is an Associate Professor at DES Pune University, Pune with over two decades of experience in Computer Science education, research, and curriculum development. Her interests include Database Management System, Artificial Intelligence (AI), Programming, and Software Engineering. She is passionate about AI-enabled teaching and innovative learning methodologies.

About the Technical Reviewer
Arun Anbumani is a Principal Engineer at Oracle Cloud Infrastructure, where he focuses on designing and operating large-scale cloud infrastructure and distributed systems. With over 11 years of experience, his work centers on building reliable platform services that support heterogeneous compute environments, including GPUs, accelerators, and SmartNIC-enabled networking for modern cloud and AI workloads.

Arun has extensive experience developing infrastructure systems that operate at hyperscale, with a focus on platform reliability, infrastructure automation, provisioning systems, observability, and hardware-software integration. His work involves solving operational challenges that arise when managing distributed systems powering large fleets of cloud services and data-intensive workloads.

Beyond his engineering responsibilities, Arun actively contributes to the broader technology community through technical publications, conference peer review, technical book reviews, hackathon judging, and mentoring. Through these activities, Arun supports initiatives that foster innovation in distributed systems, cloud infrastructure, and platform engineering. His technical interests include distributed systems reliability, AI infrastructure, large-scale infrastructure operations, and the evolving challenges of operating cloud-native and AI-driven systems in production environments.