Adding unique request IDs helps trace logs across distributed systems. I generate a UUID for each request and attach it to both the request object and response headers. I also add it to the logging context so all log entries for that request include t

Stateless authentication with JWT tokens simplifies horizontal scaling but introduces security concerns around token lifetime and revocation. I use short-lived access tokens (15 minutes) combined with longer-lived refresh tokens stored in an encrypted

I’ve started using log/slog for services that want structured logs without a heavy dependency. The key is treating the request logger as data: create a base logger with JSON output, then derive a request logger with fields like request_id and path. I

Turbo’s page cache is great until you have sensitive screens (account settings, billing) where the browser back button might show stale content. I handle this by setting cache-control headers and, for specific actions, disabling Turbo caching via turb

You can build rich UIs by scoping navigation to a frame (e.g., a sidebar). Links inside the sidebar update only that frame while the main content stays put. This is great for filters and settings panels.

Retries are dangerous when they synchronize; that’s how you turn a minor outage into a stampede. I implement exponential backoff with jitter so clients spread out naturally. The Retry helper takes a shouldRetry predicate and always checks ctx.Done() b

Model Meta class controls database behavior. I use ordering for default query ordering, indexes for database indexes, and unique_together for composite uniqueness constraints. The db_table option customizes table names. For large tables, managed=False

Django's i18n framework supports multiple languages. I mark strings for translation with gettext() or _(). The makemessages command extracts strings to .po files. Translators fill in translations, then compilemessages creates binary .mo files. I use {

Email issues are painful in production. Subscribe to mailer notifications and log message IDs, recipients, and durations. This gives you a lightweight audit trail without adding a heavy dependency.

Updating last_seen_at on every request creates hot rows and write amplification. Instead, track last seen in Redis and periodically flush to DB, or only write when the value meaningfully changes.

TypeScript only protects you at compile time; your API still receives untrusted JSON from the internet. I lean on Zod as the source of truth for parsing + validation so runtime and types stay aligned. The big win is that I don’t try to validate ‘every

Custom decorators encapsulate reusable view logic. I use functools.wraps to preserve function metadata. For class-based views, I use method_decorator. Common patterns include permission checks, rate limiting, or request validation. Decorators can modi