Accelerate with AI, without losing control
Assesstment
Risk assessment and strategic view CodeHealth™ analysis shows in minutes where AI-coding can be safely applied today. Measure and track impact. Enable high ROI.
Safeguard
AI safeguards for AI-ready areas ensure AI-generated code stays aligned with quality and remains AI-ready with CodeHealth™ MCP Server.
Uplift
AI-powered uplift for not-yet-ready areas works best on healthy code. Use CodeScene ACE + MCP to improve problematic code so AI can be applied safely.
Uplift Unhealthy Code
Unhealthy code undermines AI-assisted development. AI error rates increase by 2–3 times in problematic code, eroding the benefits of automation. Organizations that want safe and effective AI-assisted development must invest in code health as a foundational capability.
Projected AI break rate
CodeHealth™ scores predicting AI performance:
- Identify code that is not yet AI-ready
- Uplift unhealthy code:
- CodeScene ACE improves modularity and structure
- AI performs more precise refactorings
- CodeHealth™ guides both toward maintainable outcomes
Read about AI-ready code
WhitepaperAI uplift in action
Demo videoCodeHealth™ Metric
CodeScene complements DORA metrics with an equivalent, evidence-based set of measures for the code itself. It’s the missing KPI for measuring code quality and maintainability.
Accelerate AI-Friendly Code
AI performance depends on code quality. Healthy code:
- Reduces the risk of AI errors by 2–3 times
- Cuts human code review time in half
Projected AI break rate
CodeHealth™ scores predicting AI performance:
- Enable our MCP Server to automatically safeguard all AI-generated code
- Complement CodeHealth™ guardrails with code coverage gates to validate behavior
Self-correcting AI agent
Read moreSee safeguards in action
Demo video
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AI Playbook
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Stuart Caborn
