Six months ago, most engineering teams relied on only one or two AI coding tools. Today the landscape has changed. Companies are now using three to four AI assistants in parallel, and leaders need a unified way to understand how they work together.
AI Adoption 2.0 brings that clarity. Waydev now supports GitHub Copilot, Cursor, Claude Code, and Windsurf on the same page, giving you a complete view of how your teams adopt and benefit from AI across every tool they use.
With AI Adoption 2.0 you can select from our metrics that provide a full breakdown of usage and impact across all AI assistants. This includes:
For companies that moved from a single AI tool to multiple tools, this unified view removes guesswork and shows exactly how each assistant contributes to your delivery pipeline.
AI Adoption 2.0 tracks how performance metrics evolved before and after AI adoption. You can now see how AI changes:
In the example above, Lead Time for Changes dropped from 12d 16h to 5d 19h, a reduction of more than 54% after AI adoption.
As teams adopt three to four tools at once, individual behavior becomes even more important. Waydev now shows:
This helps leaders guide enablement, training, and AI investment decisions.
AI Adoption 2.0 gives companies the data they need to scale AI responsibly. Whether your team is experimenting with a single assistant or using four tools every day, Waydev provides full visibility into what works and helps you optimize your AI-driven development process.
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