The AI-native SDLC is paying off: 19% more PRs and 2–3 hours saved per developer per week
Atlassian data study (Inside Atlassian) measuring the actual return of an **AI-native SDLC** powered by **Rovo Dev**. Across 3,400 repositories from 2,500 customers (a quasi-experiment with propensity-score matching), adopting repositories merge **19% more PRs per month**; up to **37-51%** on low/medium-activity repositories and **59-87%** when **3 to 5 members** of the team adopt the tool. On the efficiency side, developers save **2-3 h/week** (≈10% of the 24 hours devoted to coding and review), i.e. 20-30 hours/week reinvested for a team of 10. The thesis: resolve Solow's (1987) "productivity paradox" by shifting from **usage metrics** (tokens) to **impact metrics** (throughput, time saved, failure rate, satisfaction). Recommendation: start with a **team** (not an individual) and measure 2-3 months later.
Robbie Geoghegan · Fan Jiang (Atlassian)