This white paper guides engineering leaders through the critical considerations for adopting AI code generation technology, backed by real-world examples and expert insights.
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Learn the capabilities of AI code assistants
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The outcomes you can expect as an engineering leader
How your software development process will change from adopting AI tools
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Understand the criteria to make the right AI choice for you
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Explore 7 comprehensive categories of selection criteria for AI code assistants that cover key questions regarding:
Privacy
Security
Personalization
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Evaluate the the technical aspects
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Get a technical framework for establishing evaluation criteria, planning, executing, and measuring the results of an AI code assistant trial