Stripe Checkout, subscriptions, webhooks, customer portal
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
Backend services development with Python emphasizing security, performance, and maintainability for JARVIS AI Assistant
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Real-time bidirectional communication with security focus on CSWSH prevention, authentication, and message validation
Firebase Firestore NoSQL patterns, real-time sync ve security rules rehberi.
Generate and validate Kubernetes YAML manifests with best practices for Deployments, Services, ConfigMaps, and security policies.
Vue 3 and Nuxt 3 for JARVIS AI Assistant UI development with security-first patterns
Use when accessing nested object properties. Use when chaining method calls. Use when reaching through objects to get data.
Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
Review code for quality, security, and best practices. Use when analyzing code, suggesting improvements, or conducting code reviews.
Cross-platform desktop application framework combining Rust backend with web frontend, emphasizing security and performance
Expert guidance for LangChain and LangGraph development with Python, covering chain composition, agents, memory, and RAG implementations.