DX AI Measurement Framework closes the gap between AI spend and value

As enterprises struggle to prove that AI is improving software delivery, the need for credible measurement has become an imperative. The question is: How does one go about measuring AI impact and surface actual opportunities for improvement?

DX AI Measurement Framework, built into the DX platform, lays the foundation for effective AI SDLC strategies and provides a way for organizations to understand the ROI of their agentic engineering efforts.

Download the IDC market note to learn why:

• Atlassian is betting on measurement as strategic infrastructure. Its acquisition of DX signals that credibly quantifying AI’s impact on software delivery has become a prime competitive priority.
• DX is solving the hard attribution problem locally. A daemon connects with agent-native hooks to distinguish AI-generated code from human-written code.
• The Agent Experience Score is genuinely novel. DX surveys the agent post-session on requirements, steering, and scope, producing collaboration quality signals.
• Platform engineering’s mandate is expanding to AI readiness. Infrastructure built for human developers is proving inadequate for agentic workflows. DX extends its measurement approach to AI readiness, delivered via its scorecarding capabilities.