Story points and velocity were designed for human-only teams. When AI writes 70% of the code, you need metrics that reflect reality.

Why AI-First Delivery Needs New Metrics

Story points and velocity were designed for human-only teams. When AI writes 70% of the code, you need metrics that reflect reality.

The End of Story Points

Story points were invented to abstract away the unpredictability of human work. But when AI handles most of the implementation, the bottleneck shifts. Complexity isn’t about how long code takes to write — it’s about how well the developer can describe the problem. Points become meaningless when a 13-point story takes 20 minutes because AI generated the implementation.

Cycle Time Over Velocity

Velocity measures how many points a team burns per sprint. But with AI, the number of points completed can spike without any real improvement in delivery. Cycle time — the wall-clock time between starting and finishing a task — tells you what actually matters: how fast value moves from idea to production. Tandemu measures this automatically.

AI Ratio as an Adoption Metric

AI ratio tracks the percentage of code generated by AI versus written manually. A team with 20% AI ratio is barely adopting AI tools. A team at 70% has fundamentally changed how they work. This metric helps leads understand whether expensive AI licenses are actually being used and where adoption coaching is needed.

Friction Replaces Blockers

In traditional scrum, blockers are self-reported in standups. Most developers downplay them or forget to mention them. Tandemu detects friction automatically — prompt loops where the AI fails repeatedly, tool errors that waste time, files where developers consistently struggle. This gives leads visibility into problems before they’re escalated.