AI in daily Software Engineering - The Unseen Challenges [eBook]

This book is a comprehensive resource for anyone keen on understanding how AI and Language Learning Models (LLMs) are changing the software development landscape and how these tools can be effectively deployed to streamline processes and increase productivity. The content is diverse and relevant to a wide array of roles in the tech industry:

New Team Members:

Suppose you've just joined a team using AI tools in their development process. In that case, this book will provide the context and understanding you need to adapt to the environment quickly. It will give you a sense of the capabilities and limitations of these tools, helping you make the most of their utility while being aware of their challenges.

Engineering Managers in Product Companies:

For engineering managers, understanding how to employ AI tools to enhance productivity, improve code quality, and drive innovation is crucial. This book offers insights into integrating LLMs into your workflows, measuring their impact, and harnessing their capabilities to drive your team's performance.

Project Managers in Services Companies:

Project Managers will find valuable insights on how AI tools can improve timelines, reduce effort, and help in better risk management. You'll learn about the nuances of integrating LLMs into different projects, managing the change within teams, and dealing with potential pitfalls.

Product Managers:

Product Managers can benefit from understanding how AI can accelerate the product development process, reduce time-to-market, and facilitate the creation of innovative features. The book also provides insights into how AI can shape the roadmap and product strategy.

CTOs of Startups:

As a CTO of a startup, you're always looking for ways to get more done with less. This book will guide you in understanding the potential of AI tools to scale your development efforts, drive rapid prototyping, and create a culture of innovation within your startup.

Architects or Principal Engineers:

For those in architectural or principal roles, this book analyzes how AI and LLMs can be woven into your development environments. Understand the impact of these tools on code quality, design patterns, and how they interact with different technologies and frameworks.

Tech Leads:

As a tech lead, staying ahead of the curve is crucial. This book offers a comprehensive understanding of questions around AI and LLMs, allowing you to assess their utility for your team, understand how they can augment your development practices, and foresee any potential issues that may arise.

This book offers a broad perspective on integrating LLMs in software development, making it an essential read for anyone in the tech industry. The practical insights and comprehensive coverage make it a valuable resource for understanding and implementing AI tools in daily software development without burning out engineers.