Developers are using AI coding assistants more than ever to boost productivity by automating routine tasks. This allows developers to focus on creative problem solving and innovation.
There are challenges however like ensuring that the security and quality of AI-generated code, managing the increased volume of code, and optimizing testing and deployment processes. These challenges must be addressed to fully realize the benefits of AI coding assistants.
Read this analyst report by Research Manager Katie Norton of IDC. The report goes into depth about how the adoption of coding assistants necessitates adjustments across the entire software development life cycle (SDLC). The adjustments are essential to handle increased code volume and velocity, including enhanced automation, visibility, governance, and standardization.
