📰 Dev.to · Ugur Aslim

Index strategies, query optimization, and connection pooling to scale your database beyond the obvious limits.

Deep-dive into scalable web architecture decisions: monoliths vs microservices, API design, and data flow patterns for production systems.

Practical techniques for optimizing React applications using code splitting, lazy loading, and profiling tools with real metrics.

Master memoization, code splitting, and bundle analysis to build React apps that stay fast as they grow.

Proven architectural patterns that scale from prototype to production using React, FastAPI, and PostgreSQL.

A structured framework for evaluating production systems across 12 dimensions — from architecture and security to AI readiness. Includes a scoring model used in

Advanced techniques for React performance including memoization strategies, bundle analysis, and runtime optimization patterns.

Master Astro's Islands pattern to ship less JavaScript, improve Core Web Vitals, and keep your site blazing fast.

Design patterns for APIs that integrate Claude and other LLMs—handling streaming, enforcing output schemas, and managing quota.

Squeeze maximum throughput from FastAPI. Benchmarks, profiling, and deployment patterns for high-traffic APIs.

Decision framework for scaling full-stack apps—scaling signals, cost trade-offs, and when Astro + FastAPI monolith outperforms.

Learn enterprise patterns for building scalable SaaS products using React, TypeScript, and modern full-stack tooling.

Implement real-time notifications, live updates, and collaborative features using React frontends and FastAPI WebSocket servers.

Learn how to architect scalable SaaS applications using React, TanStack Query, and modern full-stack patterns for production-ready systems.

Deploy full-stack Astro frontends and FastAPI backends to Cloudflare Workers with zero-downtime updates and edge-first architecture.

Compare React Server Components, Astro Islands, and hybrid rendering strategies to choose the right architecture for your next project.

Implement React 19 Portals combined with Tailwind CSS z-index layers to render multi-tenant modal dialogs, dropdowns, and popovers outside the cascade of deeply

Master Python's contextvars to safely propagate tenant ID and user permissions through FastAPI's async task spawning without accidentally leaking data between c

AI Agents: Why Simple Chains Beat Complex Orchestration I've built nine AI features into...

Use FastAPI's lifespan context manager to initialize per-tenant connection pools, warm up Claude API rate-limit caches, and seed feature flags at startup, avoid

Combine React 19's lazy() with feature flags stored in tenant settings to conditionally load AI feature components at runtime, preventing paid-tier-only Claude

Implement dark mode persistence in React 19 using a combination of localStorage, a non-blocking script that runs before React hydration, and Tailwind's class-ba

Implement FastAPI endpoints that queue AI feature requests (document summarization, bulk classification) into Anthropic's Batch API for 50% cost reduction, then

Replace complex form state machines with React 19's useActionState hook to handle Claude API calls directly from form submissions, managing loading states, vali