Velocity Pods
Metrics & Reporting
How we measure success and demonstrate value.
We don't ask clients to "trust us." We show them the data. Transparency is key to the Limestone engagement model.
Developer Intelligence
We track metrics that matter, focusing on outcome over output.
DORA Metrics (The Gold Standard)
- Deployment Frequency: How often do we ship? (Target: Daily)
- Lead Time for Changes: Time from "Commit" to "Production."
- Change Failure Rate: How often do we break things?
- Mean Time to Restore: How fast do we fix it?
Velocity Metrics
- Cycle Time: How long does a ticket sit in "In Progress"?
- PR Size: We aim for small, frequent PRs (easier for AI to generate, easier for humans to review).
AI Adoption Metrics (Internal)
We measure our own AI usage to ensure we are walking the walk.
- % of Code Generated vs. Typed: High generation % usually correlates with higher velocity (if quality is maintained).
- Prompt Iteration Count: How many tries does it take to get the right code? (Lower is better; indicates better prompt engineering).
The Weekly Report
Every client receives a weekly snapshot:
- What we shipped.
- The Velocity trend (Are we getting faster?).
- Risks and Blockers.
- The "AI Win" of the week (e.g., "We used AI to refactor the entire billing module in 4 hours").