Backend

A from-scratch production Rust HTTP service. Axum 0.8, sqlx with compile-time-checked queries, structured errors, request tracing, layered middleware, and the exact project layout I use.

How to design REST APIs that age well: resource modeling, HTTP method semantics, status codes, structured errors, pagination, idempotency, and versioning.

A practical comparison of rate limiting algorithms (fixed window, sliding window, leaky bucket, token bucket), production-ready Redis implementations, and the headers your API should return.

How to use Redis as a cache properly — patterns (cache-aside, read-through, write-behind), key design, TTLs, invalidation, and the production gotchas to avoid.

Flask is still very much alive. Here’s a practical quickstart, the project structure that scales, and an honest take on when Flask is still the right choice in 2026.

A practical, end-to-end tutorial for building a REST API in Go with only the stdlib — routing, middleware, JSON, validation, structured errors, and graceful shutdown.

Why Go is great for backends, the language features that matter, and how to write your first HTTP server with the standard library — written for developers fluent in another language.

Postgres ships with surprisingly capable full-text search built-in. Here’s how to use it for ranked text search without adding Elasticsearch to your stack.

An opinionated, side-by-side comparison of Django and FastAPI covering philosophy, features, performance, and when to pick each (or both).

End-to-end DRF tutorial — build a real CRUD API with serializers, viewsets, JWT auth, permissions, filtering, and pagination.