For workloads that run at SERIALIZABLE isolation (or that hit serialization conflicts under load), retries are part of the contract. The important part is to retry only the safe errors (typically SQLSTATE 40001) and to keep the loop bounded so you don

Large CSV exports should not allocate huge strings. Use ActionController::Live to stream rows. Include a heartbeat and handle client disconnects gracefully. This is real-world Rails ops code.

Filters are better when the URL reflects state. I use a small Stimulus controller that updates the query string as filters change, then triggers a Turbo visit (often with data-turbo-action='replace'). This gives shareable URLs and correct back-button

GraphQL provides flexible APIs where clients specify exact data requirements. Spring for GraphQL integrates GraphQL Java with Spring Boot. Schema-first approach defines types in .graphqls files. Resolvers map schema fields to Java methods using @Query

When controllers become parameter jungles, use a form object. It centralizes coercion, validations, and save logic. This pattern is extremely effective for admin panels and multi-step flows.

Crossbeam provides lock-free data structures and utilities for concurrent programming. The crossbeam-channel crate offers multi-producer multi-consumer channels with better performance than std::sync::mpsc. crossbeam-utils has scoped threads (borrow d

Promises represent eventual completion or failure of asynchronous operations. I create promises with new Promise((resolve, reject) => {}) executor function. The .then() method chains successful results while .catch() handles errors. Using .finally(

Destructive actions should feel immediate. For delete links inside a list, I return a Turbo Stream that does turbo_stream.remove dom_id(record). That removes the DOM node without re-rendering the rest of the list, which avoids the common “jump” effect

Hilt simplifies dependency injection in Android with compile-time code generation. I annotate Application class with @HiltAndroidApp and activities/fragments with @AndroidEntryPoint. Modules marked with @Module and @InstallIn define how to provide dep

The tracing crate is the modern standard for instrumentation in async Rust. It provides structured logging with spans (representing work) and events (point-in-time records). Spans can be nested, creating a tree that represents causality. I instrument

N+1 queries are the silent performance killer in Rails apps—they're easy to introduce during rapid development and expensive to diagnose in production. The Bullet gem monitors queries during development and test runs, raising alerts when it detects mi

Rust's mpsc (multiple producer, single consumer) channels are the safest way to communicate between threads. You send owned values through the channel, transferring ownership to the receiver. This prevents data races because only one thread owns the d