Leadership in AI-assisted engineering

To realize meaningful returns on AI investments, leadership must take accountability and ownership of establishing best practices, enabling engineers, measuring impact, and ensuring proper guardrails are in place.

When prompting practice and reflexive AI use is driven from the top down, engineers can align on the highest value use cases and experience peak productivity gains. When coupled with DX's AI Measurement Framework, leaders can gain a clear picture of AI's true impact, identify the real bottlenecks in the SDLC that can be augmented with AI, and drive improvement