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Prompting Go for Systems Development Build High-Performance APIs, Microservices, Concurrent Systems, and Cloud Backends [#1031285]

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Prompting Go for Systems Development: Build High-Performance APIs, Microservices, Concurrent Systems, and Cloud Backends Faster with AI-Powered Prompt Engineering
by Drishti Jain

English | 2026 | ISBN: 9349887274 | 333 pages | True EPUB | 4.89 MB


Think Fast. Build Faster. Scale with Go and AI.
Key Features
● Get a free one-month digital subscription towww.avaskillshelf.com
● 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.
Book Description
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.
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
Table of Contents
1. Introduction to Go and AI-Assisted Development
2. Go Syntax, Variables, and Data Types
3. Functions, Packages, and Modular Code
4. Error Handling and Debugging in Go
5. Concurrency in Go
6. Database Interaction and Context Management in Go
7. Web Server and REST API Development
8. Concurrent Processing Pipelines
9. Integrating AI Tools in Go Development
10. Deploying Production-Grade Go Microservices



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