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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."
— 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. Without pulling sardines — with architect's criteria.
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