A data-driven look at how AI-assisted development transformed individual output across the neo-backend and neo-ui codebases.
| Metric | Without Claude Code | With Claude Code | Change |
|---|---|---|---|
| Commits / month | 0.8 | 27.3 | 34x |
| Lines changed / month | 408 | 16,952 | 42x |
| Unique files touched / month | 9 | 141 | 16x |
| Test files created / month | 0 | 16 | New |
| Active repositories | 1 | 2 | 2x |
Commits per month — without vs. with Claude Code
Lines changed per month across all repositories (excluding .lock files)
Breakdown of 82 commits by category
Modules and libraries touched during the period
Human PRs merged in the same period (excludes bots)
Pull request stats with Claude Code
Conservative estimates based on observed productivity gains — all figures are approximate
Enterprise authentication, centralized user management, and organization-wide policy enforcement.
Track adoption, measure productivity impact across the team, and identify high-value use cases.
Enterprise data handling, no training on your code, and compliance with corporate security policies.
If one developer saw this impact, multiply across the entire engineering team for organization-wide transformation.