Engineering intelligence for the AI era
Measure what survives, not what ships. DevXOS analyzes your Git repos and reveals whether AI is making your code more durable — or just more.
Is the code actually better — or just more?
Your team adopted AI coding tools. Commits increased. PRs are faster. Traditional metrics say things are great. But you can't see what's breaking underneath.
Proven on real data
Validated on an organization with 58 repos, 3,497 commits, and 1,211 merged PRs.
79% vs 64%
AI code stabilization vs human code
45%
of "human" commits match AI velocity patterns
100%
coupling detected across 4 client implementations
54 commits
burst explained by weekly timeline
How it works
$ curl -fsSL https://devxos.ai/install.sh | sh$ devxos /path/to/repo --trendGet a Markdown report + JSON metrics with delivery pulse, churn investigation, and AI impact analysis.
15 analysis modules
Human / AI-Assisted / Bot attribution
Line survival rate via git blame
Fix-following patterns by origin
Code review survival by tool
Commit → PR → Stabilized → Surviving
Unattributed high-velocity detection
Weekly breakdown with delivery pulse
Baseline vs recent comparison
Burst, quiet periods, intent shifts
Per-directory stabilization
Chains + file coupling detection
Structural profile by origin
Speed vs durability correlation
AI context files (CLAUDE.md, etc.)
prepare-commit-msg for AI tools
What DevXOS is not
Not a developer surveillance tool
Analyzes systems, never individuals
Not a real-time dashboard
Point-in-time reports, not live monitoring
Not an IDE plugin
Works from Git history alone
Not a productivity tracker
Measures durability, not speed
Try it now
One command. Zero dependencies. Zero cloud.
$ curl -fsSL https://devxos.ai/install.sh | shPython 3.11+ · Git · Zero dependencies