AI
3 articles on AI.
Vector Databases for Backend Engineers: RAG Without the Hype
What a vector database actually is, how similarity search and ANN indexes (HNSW) work, when you need a dedicated vector DB vs pgvector, and how to build a production RAG pipeline that stays fast and accurate — explained for backend engineers.
May 28, 2026·6 min readPutting an ML Model in Production: A Backend Engineer's Guide to Inference APIs
Serving a model is a backend problem, not a data-science one. A practical guide to production inference APIs — latency vs throughput, batching, GPU concurrency, caching, autoscaling cold starts, and the failure modes that don't exist in a notebook.
May 24, 2026·6 min readBackend Trends 2025: What Every Developer Should Know
Explore the hottest backend development trends for 2025 including AI integration, edge computing, serverless evolution, WebAssembly, and platform engineering.
December 18, 2024·7 min read
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