What It Is
AI-Powered Code Optimization uses modern AI-assisted tooling (e.g., LLM-based code analysis, automated refactoring suggestions, and static analysis) to improve code quality, performance, and security. We don’t replace human judgment we augment it: we use AI to surface issues and propose changes, then apply security and architecture expertise to validate and implement.
Why It Matters
Legacy or rapidly built codebases often carry technical debt, performance bottlenecks, and subtle security issues. Manual review of large codebases is time-consuming. AI-assisted analysis helps identify patterns, suggest refactors, and flag potential vulnerabilities at scale so your team can focus on high-impact decisions.
How Miyani Delivers It
We combine AI-driven analysis with human review. We run automated scans and refactoring suggestions, then triage and implement changes that improve security, performance, and maintainability. We document what we changed and why, and we can leave you with patterns or tooling so you can continue optimizing internally.
Tools & Technologies
We use a combination of established static analysis tools and AI-assisted coding assistants, always in line with your stack and security requirements. We ensure that AI-generated or -suggested code is reviewed for correctness and security before it reaches production.
Business Benefits
- Faster identification of technical debt and performance issues
- Consistent, security-aware refactoring at scale
- Better code quality without blocking your team’s feature work
- Transfer of best practices and tooling for ongoing optimization