Handbook for AI-Powered Developers

Siili's Handbook for AI-Powered Developers was written by developers with my editorial supervision. It offers insights into AI advancements and how they’re reshaping the industry.

Handbook for AI-Powered Developers

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Handbook for AI-Powered Developers - download the PDF for free
Handbook for AI-Powered Developers - download the PDF for free

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Siili's Handbook for AI-Powered Developers was written by developers with my editorial supervision. It offers insights into AI advancements and how they’re reshaping the industry.

What’s inside

The Handbook for AI-Powered Developers is packed with practical insights, tools, and strategies to help developers at every stage of their journey integrate AI into their workflows.

 


The AI-powered development roadmap

Discover a structured, four-step maturity model that takes you from basic AI adoption to a fully AI-integrated development lifecycle. Whether you’re starting with simple prompt-based tools or building complex, automated workflows, this roadmap provides clear guidance for your AI transformation.

Practical guide to AI tools

Learn how to use tools like GitHub Copilot, JetBrains AI, and Amazon Q to enhance your coding speed and accuracy. The book covers everything from writing boilerplate code to leveraging advanced features for debugging, code review, and more.

Developer tools

From ideation to deployment, the book offers tools and techniques for integrating AI at every stage. You'll get a comprehensive overview of how to incorporate AI in backlog organization, UI wireframing, testing, and maintaining your software.

AI agents and coding assistants

Explore the potential of autonomous AI agents like Devin and GitHub Copilot Workspaces. This section details how these tools can take on tasks such as code generation, testing, and infrastructure management, freeing up your time for higher-level problem-solving.

Security and data protection in AI-powered development

Understand the key security considerations when working with AI in software development, including how to protect sensitive data and mitigate risks associated with AI tools.

The future of AI in software development

Get ahead of the curve with insights into emerging trends, including autonomous coding agents, context windows, and large-scale AI integrations. This forward-looking chapter prepares you for what’s next in AI-powered development.

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