10k followers, 1k articles | completely useless
This article dissects a common React interview snippet that uses useEffect for data fetching, exposing hidden pitfalls such as component unmount updates, request race conditions, and missing error handling, and then presents a robust solution with cleanup logic and proper error management.
This article explains how River, a Go job‑queue library, implements delayed execution, priority handling, exponential‑backoff retries, batch inserts, monitoring, and best‑practice patterns, and compares it with other queue solutions to help developers build reliable, high‑performance background processing pipelines.
This article explains how the River library leverages PostgreSQL to provide a Go‑native job queue with true transactional guarantees, high concurrency via goroutines, and efficient scheduling using SKIP LOCKED, while offering step‑by‑step setup and code examples for rapid adoption.
This guide explains why memory leaks occur in React, how to spot early warning signs, and provides step‑by‑step techniques—including Chrome DevTools, React DevTools, and proper cleanup of timers, event listeners, fetch requests, and refs—to prevent and resolve leaks for more stable applications.
This article explains why traditional unit and integration tests miss cross‑team API mismatches in microservices, introduces contract testing with the Pact framework, shows consumer and provider test implementations, describes using a Pact Broker, and offers production‑grade strategies and best‑practice recommendations.
This article outlines a comprehensive testing matrix that maps common test types—unit, API, UI, security, performance, smoke, and regression—to their problem domains, SDLC stages, and execution methods, helping teams select and prioritize tests based on risk, feedback speed, and ownership.
This guide explains why Ant Design dropdowns, tooltips, and popovers are often hidden or misaligned, how the default rendering to document.body causes these problems, and demonstrates practical use of the getPopupContainer property to control popup mounting and eliminate visual bugs in React applications.
This article explains how React’s container concepts connect JSX, the virtual DOM, and the real DOM, covering component types, root and container components, fragments, state and data flow, reuse patterns like hooks and HOCs, and stability tools such as Suspense, Error Boundaries, and StrictMode.
This article explains why software requirements must be testable, traceable, and feasible—especially for AI‑generated code—by detailing the three key qualities, practical guidelines for achieving them, and the consequences of neglecting testability, observability, controllability, and traceability.
In the age of AI‑driven code generation, requirements must be both unambiguous and consistent to avoid misinterpretation, unpredictable outputs, and faulty logic, ensuring that generated code aligns with stakeholder intent and maintains quality.
