
Vector Databases Compared: pgvector vs Pinecone vs Qdrant
A practical comparison of pgvector, Pinecone and Qdrant for production AI workloads — when each one wins, real performance characteristics, and the migration path between them.
Production-tested patterns, product stories from Blink AI, Nexia Academy and Wallnetic, and the trade-offs we hit shipping real software. Written by senior engineers, not marketing.

A practical comparison of pgvector, Pinecone and Qdrant for production AI workloads — when each one wins, real performance characteristics, and the migration path between them.

How we combine Sentry for error tracking with OpenTelemetry for tracing across our Node, React Native and Go services — minimum viable observability for production systems.

When to ship cross-platform with React Native, when to go native, and the hybrid pattern most production teams actually use in 2026.

Three production-tested patterns for multi-tenant SaaS — shared database, schema-per-tenant and database-per-tenant — with the trade-offs we learned shipping Nexia Academy and Blink AI.

Why we run most production workloads on Hetzner instead of AWS, with real cost numbers, when AWS still wins, and how to migrate without bringing the operational complexity with you.

A practical assessment of running TypeScript across frontend, backend, mobile and infrastructure-as-code — what works, what hurts, and when to choose another language.

Most software agencies bill senior rates and ship junior code. Here is why T-Square runs as a senior-only studio — what it costs, what it buys, and how to verify it when hiring an engineering partner.