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LLM-Powered Development Workflows Designing, Building, and Scaling AI-Driven Software Systems for Modern Developers

   Author: creativelivenew1   |   21 June 2026   |   Comments icon: 0


LLM-Powered Development Workflows: Designing, Building, and Scaling AI-Driven Software Systems for Modern Developers
English | December 30, 2025 | ASIN: B0GD67RL84 | 134 pages | Epub | 1.96 MB
Software development is breaking under its own complexity, and LLMs are the first tools powerful enough to fix it. LLM-Powered Development Workflows is a practical, production-focused guide to designing, building, and scaling AI-driven software systems that actually work in real-world environments. This book goes beyond prompts and demos to show how Large Language Models fit into modern development workflows across the entire software development lifecycle, from design and coding to testing, deployment, and operations. Rather than treating LLMs as chatbots or isolated agents, this book shows how to integrate them as structured, reliable components inside real systems. You will learn how to build end-to-end workflows that combine LLMs with code, data, tools, and human oversight to improve speed, quality, and decision-making without sacrificing control or reliability. By reading this book, you will learn how to: Design LLM-powered workflows that reduce development time and errors Build production-ready pipelines using prompt engineering, retrieval, memory, and orchestration Apply LLMs to real tasks like code generation, testing, ETL, recommendations, and QA systems Scale AI-driven systems with confidence using monitoring, versioning, and cost-aware design Avoid common failures such as hallucinations, brittle prompts, and unsafe automation What makes this book different is its focus on systems thinking. Instead of teaching isolated tricks, it provides a clear mental model for how LLMs behave inside software systems, how to design around their limitations, and how to combine them with traditional engineering practices. Every concept is grounded in real workflows, real trade-offs, and real constraints faced by modern developers. This book is written for software engineers, technical leads, and AI practitioners who want practical guidance, not hype, on how to use LLMs responsibly and effectively in production environments. If you want to move beyond experimentation and start building AI-driven systems you can trust, LLM-Powered Development Workflows gives you the structure, clarity, and confidence to do exactly that. Start building smarter workflows today.




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