The reference you
were looking for across 47 tabs.
Opinionated tech guides. Every decision has context, criteria, and the real cost of the trade-off. No buzzwords. No "it depends" as the final answer.
"If you can't explain it simply, you don't understand it well enough."
Albert Einstein
Database & Data
The foundation of the entire system. SQL modeling, PRIMARY KEY, UUID, soft delete, indexes and maintenance routines. Which doesn't change in 10 years.
Trade-offs Catalog
REST or gRPC? Redis or no cache? Rewrite or strangle? Each decision with objective criteria: when to use, when NOT to use, and the real cost of the trade-off.
Backend & Architecture
Clean Architecture in practice. Result Pattern, Repository, CQRS: when to apply and when to over-engineer. No dogmatism.
DevOps & Cloud
CI/CD that actually works. Docker, Kubernetes and IaC when they make sense. Built-in FinOps. DORA metrics as a compass, not as vanity.
AI & Agents
How to use AI to deliver 10x without becoming hostage to the tool. LLMs, RAG, autonomous agents: what works in production vs what is a conference demo.
Tech Radar
PostgreSQL vs MongoDB, Power BI vs Tableau, RabbitMQ vs Kafka. Each technology with pros, cons, MVP vs Production. No biases, just architect criteria.
Reference code on GitHub
Production-ready templates with the patterns from this reference already applied.
Prefer to discuss how to apply this to your specific context?
Talk with Nix