A repeatable framework for technical decisions you won't regret — frame the trade-offs, decide for your stage, and write down the why.

How to make code review actually improve the codebase — automate style, focus on design, ask questions, and keep PRs small.

Lessons from leading backend teams — shifting from output to outcomes, sharing context, owning interfaces, and multiplying your impact.

What to instrument for observability — structured logs, RED/USE metrics, and distributed traces — and how to alert only on what's actionable.

How to design REST APIs that age well — versioning, pagination, consistent errors, and backward compatibility that won't break clients.

A backend engineer's mental model for database indexing — what to index, the leftmost-prefix rule, and why a query still does a full scan.

How to design APIs and message consumers that survive retries safely — idempotency keys, HTTP semantics, and idempotent consumers.

How to scale a Django backend to 170K concurrent users — stateless services, autoscaling, load balancing, and protecting the database.

When to break a Django monolith into microservices — and how, with the strangler pattern, an API gateway, and a database per service.

Designing a workflow engine for processes that mix automation, human steps, and retries — using an explicit state machine, not tangled conditionals.