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Think Fast. Build Faster. Scale with Go and AI.
Key Features:
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End-to-end Go backend development workflow, from fundamentals to production microservices.
Hands-on concurrency and REST API mastery in Go, from goroutines to advanced pipeline design.
AI-powered Go development workflows using prompts, automation, and code generation templates.
Go has emerged as the language of choice for high-performance backend engineering, and is a core skill for modern software, cloud, and platform engineering roles. The book, Prompting Go for Systems Development shows you how to translate natural-language intent directly into working Go code using AI, accelerating every stage of backend development from API design and concurrency to microservice deployment.
Rather than teaching Go from scratch, this book puts AI-assisted execution at the centre. You use prompt engineering techniques to generate goroutines, REST APIs, database interactions, and concurrent pipelines, then refine and deploy them with confidence. Every chapter is oriented around getting production-ready output faster, not theory.
By the end of the book, you will use AI prompts as a core part of your Go development workflow, shipping scalable, high-performance backend systems with greater speed, consistency, and precision than traditional development allows.
The Chapter 1 provides an overview of Go (Golang) and its significance in modern software development. It discusses the core features and advantages of using Go for building backend systems, cloud-native services, and high-performance applications. The chapter explains the key strengths of Go—concurrency, memory efficiency, and scalability—and how these features make it ideal for developing distributed and resource-optimized solutions. It also covers the setup of the Go development environment and introduces AI-assisted coding tools such as ChatGPT, GitHub Copilot, and AWS CodeWhisperer, along with their installation and configuration for streamlined development workflows.
Go’s design emphasizes simplicity, clarity, and reliability. Its static typing and memory safety features reduce common programming errors, while its built-in garbage collector ensures efficient memory management. One of the standout features of Go is its concurrency model, which allows developers to run multiple tasks simultaneously using goroutines and communicate between them via channels. This makes Go particularly suitable for building cloud-native applications, microservices, networked systems, and real-time backend services.
The language also includes a rich standard library, offering packages for file I/O, networking, cryptography, and formatting, allowing developers to build robust applications without relying heavily on third-party tools. Furthermore, the toolingin Go—such as the built-in compiler, formatter, linter, and testing framework—supports a smooth developer workflow, enabling fast compilation, efficient debugging, and maintainable codebases. The widespread adoption of Go in industry-leading projects such as Docker, Kubernetes, Terraform, and Prometheus demonstrates its practicality and reliability in production environments.
What you will learn:
Across every book in the Prompting series, readers will learn how to:
- Learn complex technologies by expressing intent, not memorizing syntax
- Use AI prompts to generate, explain, and refine technical solutions
- Break intimidating tools into conversational learning steps
- Move from beginner understanding to production-ready output
- Build confidence to explore any new technology independently
Who is this book for?
This book is for Software Developers, Backend Engineers, Cloud Engineers, DevOps Practitioners, and Technology Professionals who want to build high-performance, production-ready backend systems, and accelerate their workflow in Go using AI. Readers should have a working knowledge of programming fundamentals (functions, variables, control flow, and basic data structures) and a basic experience working with APIs or backend systems.
Preface
Introduction to Go and AI-Assisted Development
Go Syntax, Variables, and Data Types
Functions, Packages, and Modular Code
Error Handling and Debugging in Go
Concurrency in Go
Database Interaction and Context Management in Go
Web Server and REST API Development
Concurrent Processing Pipelines
Integrating AI Tools in Go Development
Deploying Production-Grade Go Microservices
