Overview
AI-assisted refactoring with human validation
We combine AI analysis with expert review to improve performance, maintainability, and security.
Every change is validated by engineers before it reaches production.
Analysis speed
Hours
Large codebases reviewed quickly.
Refactor scope
Targeted
High-impact improvements first.
Quality gains
+37%
Typical code health uplift.
Outcomes
Performance gains
Faster execution and improved resource use.
Outcomes
Reduced debt
Cleaner code with fewer maintenance burdens.
Outcomes
Security uplift
AI surface area reviewed by experts.
Process
A structured engagement path
We run short, transparent cycles that keep stakeholders aligned and security measurable.
Baseline
Measure current performance and risk.
AI analysis
Generate refactor and optimization candidates.
Human review
Validate and prioritize recommendations.
Rollout
Implement changes with benchmarks and tests.
Deliverables
- Refactor and optimization PRs
- Performance benchmarks and before/after metrics
- Security fixes and hardening changes
- Code quality rules and linting guidance
- Optimization roadmap for ongoing work
Who this is for
- Teams with large or legacy codebases
- Products facing performance bottlenecks
- Organizations wanting safer refactors
- Engineering teams short on review capacity