Artificial Intelligence (AI) is changing the way soft-ware developers work. However, between hype and disorganization, many teams won’t manage to take full advantage of its benefits. Rather than adopt AI ad-hoc, organizations must systemically integrate AI to enhance coding, testing, debugging, and architecture planning. This handbook presents a clear framework for AI integration, highlighting practical use cases, key challenges, and best practices. Readers will learn how to implement AI effectively within existing development workflows, overcome common AI limitations such as context constraints and error rates & develop a structured AI adoption strategy that enhances efficiency and productivity.

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