app-optimizer

To detect and fix N+1 queries in a FastAPI backend, analyze your endpoint's database access patterns to identify redundant queries. The optimization process pinpoints these loop-based calls and provides concrete refactoring steps to batch fetch data, reducing response times.

The best way to check for JWT security issues and secret exposure in Python web apps is to run automated security checks aligned with OWASP top risks. This analysis inspects token handling, validates input, and enforces safe guardrails to prevent unauthorized access.

To reduce JavaScript code-bundle size and improve frontend render performance, analyze the UI layer for large bundle loads and slow renders. The optimization workflow identifies architectural bottlenecks and recommends modularization patterns to streamline client-side loading.

Yes, you can use automated code optimization for a full-stack Python and JavaScript web app during CI. The workflow analyzes backend and frontend codebases, enforcing best practices across services and APIs to safely improve performance and reduce risk.

To get architectural guidance for refactoring APIs and modularizing services, run the optimization workflow on your full-stack application. It analyzes structural code quality across services and UI layers, outputting a prioritized action list with concrete deployment patterns.