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AI Workflow Optimization

Drive optimal effectiveness with AI tools

Measure quantitative and qualitative signals on AI-augmented developer workflows, helping you maximize impact.

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DX AI workflow optimization dashboard for data-driven AI development process improvements

Powering the World's Top Companies

SDLC Analysis

Detect bottlenecks.

Find areas of your engineering lifecycle to target AI tool investments.

SDLC workflow analysis dashboard identifying optimal deployment points for AI tools and automation
User Analysis

Track developer behavior. Understand user adoption and patterns to better manage rollouts.

Real-time analytics interface collecting feedback and performance data from AI workflow implementations
Experience Sampling

Capture continuous feedback. Ensure that your AI agents and workflows are benefitting developers.

Success measurement dashboard tracking and verifying results of AI workflow optimization initiatives

“DX really helped us take our GenAI journey further. It showed us where to focus and helped us get way more impact out of the tools, both in how deeply and widely they’re being used.”

Zane Wright
Senior Product Manager
Longitudinal Reporting

Measure progress. Continuously re-measure to verify that LLM impact and reliability are improving.

Comprehensive AI workflow optimization platform showing end-to-end deployment and measurement capabilities
Measuring AI code assistants and agents

whitepaper

Measuring AI code assistants and agents

To thrive in the AI era, organizations must adapt quickly. The DX AI Measurement Framework™ is a research-based set of metrics for measuring the impact of AI-assisted engineering.

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