AI Transformation
Your partner for AI success
Putting AI to work is a continuous cycle of planning, deploying technology, and monitoring success. DX provides insight at every stage of the AI journey.
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Strategic planning
Aim before you fire
- Identify top SDLC areas to target your AI investments
- Flag dev tasks that can be automated with AI
- Track bottom-up use cases and efficacy
Vendor evaluation
Conduct data-driven vendor bake offs
- A/B test the efficacy of different tools
- Align your vendor strategy with your data
- Right-size AI spend through ROI metrics
AI Usage analytics
Measure AI adoption and usage
- Get a unified view of usage across tools
- Break down data by team, role, and seniority
- Identify power users and unused licenses
Booking.com navigates AI transformation with DX
AI Code metrics
Track AI-authored code, accurately
- Track % of AI code by commit, pull request, and repo
- Get granular visibility down to individual lines of code
- Works across all IDEs and AI tools
AI Impact analysis
Measure the impact of AI on productivity
- Correlate increased AI usage with productivity metrics
- Analyze longitudinal trends and before vs after
- Isolate impact down to specific tools and cohorts
AI workflow optimization
Use data to optimize AI dev workflows
- Identify where in the SDLC to deploy AI
- Collect real-time analytics and feedback
- Measure results to verify success
AI enablement
Drive effective organizational rollouts
- Identify early adopters and champions
- Deliver real-time support and training
- Track progress and ROI
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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