AI Code Assistant Buyer's Guide
The pressure to adopt generative AI is intense. Yet how are you supposed to differentiate between ineffective (or even risky) solutions and safe and mature AI software tools?
This white paper guides engineering leaders through the critical considerations for adopting AI code generation technology, backed by real-world examples and expert insights.
-
Learn the capabilities of AI code assistants, the outcomes you can expect as an engineering leader, and how your software development process will actually change from adopting these tools.
-
Explore 7 comprehensive categories of selection criteria for AI code assistants that cover key questions regarding privacy, security, and personalization.
-
Get a technical framework for establishing evaluation criteria, planning, executing, and measuring the results of an AI code assistant trial.
