AI-assisted programming has moved from a novelty to a daily practice. Supercharged Coding with GenAI takes a practical, engineer-minded look at what that shift means for how you write, review, and maintain software. Hila Paz Herszfang and Peter V. Henstock guide you beyond autocomplete and surface-level demos, focusing on reliable workflows with GitHub Copilot, ChatGPT, and OpenAI APIs.
Why This Book Feels Different 💻
Rather than simply praising generative AI, the authors treat it as a serious engineering collaborator. They explore both the speed you can gain and the challenges that come with trusting generated code: correctness, hallucinations, and production readiness. The result is a balanced, grounded approach that respects real-world software development constraints.
What You’ll Explore
- How GenAI tools fit into the full software development lifecycle
- Practical prompt engineering for coding tasks and refactoring
- Using GitHub Copilot for everyday development workflows
- Working with ChatGPT and the OpenAI API beyond simple chat
- Evaluating AI-generated code and maintaining reliability
- Moving from small refactors to broader architectural guidance
From Foundations to Production Thinking 🧠
The opening sections build a foundation around the evolution of development tools and the current opportunity for GenAI. As the book progresses, it leads into more advanced concerns: evaluating output, keeping systems dependable, and knowing when to override or teach the AI. This makes the material relevant whether you are prototyping quickly or integrating AI assistance into established codebases.
Who Should Read This Book
Software engineers, ML practitioners, technical leads, and developers curious about AI-augmented workflows will find useful, evidence-based guidance. The writing is clear but not oversimplified, assuming familiarity with programming while explaining GenAI concepts from the ground up.
At Digital Delights, we appreciate books that combine hands-on technique with honest perspective. If you’re ready to move beyond “vibe coding” into dependable, productive AI-assisted development, this ebook is a strong addition to your technical library.
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