Seven steps to choosing the right AI code assistant

AI is revolutionizing software development by integrating into the Software Development Life Cycle (SDLC), making AI code assistants vital tools for developers. These assistants enhance coding efficiency through features like code completion, AI chat assistance, integration with existing tools, and language support. However, they still require human input for complex system design decisions. Advanced features such as privacy, personalization, and protection are crucial when selecting an AI code assistant, ensuring that developers' code and data remain secure and compliant with legal standards. As AI becomes integral in software development, evaluating these tools involves considering their fit within the SDLC and their ability to integrate with existing tools while focusing on privacy, personalization, and protection to mitigate potential risks.