The New Waydev
Measure the full AI SDLC. From token to production.
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Waydev tracks agent-generated code from the IDE to production, so a team can see what percentage of AI-written code actually ships. Its AI Checkpoints record which agent produced a change, the tokens consumed, the cost per pull request, the acceptance rate, and the deployment status, per team, per repo, and per vendor.
Teams can compare tools like Copilot, Cursor, and Claude Code on what reaches customers, measure cost per shipped PR, and calculate AI ROI, and ask the Waydev agent questions about it.
It is aimed at engineering leaders who want measurable data on how AI coding tools contribute, not just how much they are used.
AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.
Why we picked it
This Waydev release made the list for tracking AI-written code all the way to production, not just at commit time — seeing acceptance rate and deployment status per vendor is worth naming for an engineering lead trying to decide which coding tool is actually worth the seat cost.
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