Measure the real impact of AI coding tools on software delivery with Datadog AI Impact

Datadog AI Impact provides a comprehensive solution for organizations seeking to understand the real impact of AI coding tools on software delivery by linking AI usage data with DORA metrics to evaluate both velocity and stability. By correlating AI-assisted code with outcomes like lead time and change failure rate, it enables teams to measure how AI influences engineering performance beyond simple adoption metrics. The platform allows for detailed analysis of delivery performance, comparing AI-assisted and unassisted work, and evaluates the stability of AI-assisted code in production by attributing failure impacts proportionally. It also facilitates the comparison of different AI coding tools by assessing their effects on throughput, cycle times, and production stability, turning tool selection into a data-driven decision. Additionally, AI Impact supports the testing of new AI models in controlled environments to assess their performance and cost-effectiveness before broader implementation, providing organizations with the insights needed to make informed decisions about AI adoption based on real-world outcomes rather than assumptions or external benchmarks.