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AI Code Assistant Buyer’s Guide
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AI Code Assistant Buyer’s Guide

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Sharon Kruk /
2 minutes /
January 23, 2025

The pressure to adopt generative AI is intense. Yet the field is so new, how do you choose which tool is right for you? How do you differentiate between ineffective (or even risky) solutions vs. safe and mature AI software tools?

Tabnine’s AI Code Assistant Buyer’s Guide is designed to guide engineering leaders through the critical considerations for choosing and adopting AI code generation technology, backed by real-world examples and expert insights.

AI tools are already in widespread use within many companies, much of the time without technology leaders sanctioning it or even knowing about it. AI-powered software development tools are in high demand by software development teams due to their impact on both developer productivity and satisfaction.

In 2023, StackOverflow’s annual developer survey found that 77% of respondents felt favorably about using AI in their workflow, and that 70% already were using them. Furthermore, a recent Gartner© report stated that, by 2028, 75% of enterprise software engineers will use AI code assistants in their development process, resulting in at least 36% compounded developer productivity growth. Generative AI code assistance is not the future, it’s the now — and it’s critical for keeping up with competitors.

This guide examines the importance of AI code generation tools, establishes comprehensive evaluation criteria, and defines the selection process. It’s based on interviews with recognized subject matter experts in the field of assistive software development plus the latest academic research, both backed up by industry data from companies using these tools right now to ship better software, faster.

Download the report and learn:

  • The capabilities of AI code assistants, including the outcomes you can expect as an engineering leader
  • How your software development process will change from adopting AI tools
  • The important criteria you should consider to make the right AI choice for you
  • Seven comprehensive categories of selection criteria for AI code assistants that cover key questions regarding privacy, security, and personalization
  • A technical framework for establishing evaluation criteria, planning, executing, and measuring the results of an AI code assistant trial

Get the full guide.