Deep dives into backend engineering, system design, AI, and developer tooling — written for practitioners, optimized for search.
A deep dive into token bucket algorithms, sliding window counters, and production-ready rate limiting in Spring Boot.
Why traditional databases fall short for semantic search and how vector embeddings change the game.
A practical, no-fluff migration checklist with code examples for upgrading from Spring Boot 2.x.
Frameworks and patterns for writing technical documentation that developers actually want to read.
Patterns for reliable async communication between services using message queues.
SEO strategies specifically for developer content — from keyword research to technical on-page optimization.