AI Code Assistant Buyer’s Guide

Amid the growing pressure to integrate generative AI in software development, the Tabnine AI Code Assistant Buyer’s Guide serves as a comprehensive resource for engineering leaders to navigate the selection and adoption of AI code generation tools. As AI-powered development tools become prevalent, with 77% of developers expressing a positive attitude towards them and 70% already using them, the guide underscores the necessity of these tools for maintaining competitive advantage. It provides detailed evaluation criteria, selection processes, and insights from industry experts, all supported by current academic research and real-world examples. The guide also outlines a framework for assessing AI code assistants, addressing critical aspects like privacy, security, and personalization, and anticipates that by 2028, 75% of enterprise software engineers will adopt these tools, significantly boosting productivity.

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