Showing 12 of 122 articles on AI systems, retrieval, backend engineering and DevOps.
Build stateful, multi-step AI agents with LangGraph — core concepts, real architectures, code examples, and the pitfalls beyond simple chatbots.
Integrate custom-trained AI models into an existing SaaS — API design, deployment strategy, data pipelines, security, and production monitoring.
Advanced Next.js performance work for AI SaaS products — streaming, caching, edge functions, and serving model responses at scale without stalls.
Handle file and image uploads in Node.js with Multer, Amazon S3 and signed URLs — covering security, performance, and CDN delivery in production.
Architect and build a production RAG system with LangChain for orchestration and Next.js for the UI — ingestion, retrieval, streaming, deployment.
Build a production GraphQL API on Node.js with Apollo Server or KitQL — schema design, resolvers, and hybrid REST/GraphQL for mixed clients.
Harden Node.js APIs with Redis rate limiting, caching strategies, and observability via Prometheus and structured logs — production-ready code.
A pragmatic comparison of modular monoliths and microservices — when each one wins, real examples, code patterns, and the pitfalls to avoid.
PostgreSQL and MongoDB compared on schema design, scaling, consistency and developer experience — a practical way to pick one and move on.
Build real-time chat, push notifications and live dashboards with Socket.IO on React and Node.js — including scaling, auth, and production practices.
Build a production auth system with JWT access tokens, rotating refresh tokens and rate limiting — registration, login, protected routes, refresh.
JWT, OAuth 2.0 and OIDC compared — what each one is for, how the flows differ, and the security practices for web, mobile and single-page apps.