React Custom Hooks Explained: How to Reuse Stateful Logic Across Components

·3 views

Custom Hooks in React are JavaScript functions prefixed with 'use' that encapsulate reusable stateful logic, allowing developers to share it across multiple components without duplicating code. Common use cases include API data fetching, window resize detection, online/offline status monitoring, and form validation. Unlike copying logic into each component, Custom Hooks keep codebases cleaner and easier to maintain by isolating functionality in a single reusable function. Importantly, while the logic is shared, each component instance gets its own independent state, meaning two components using the same Hook do not share data. This concept is part of Day 18 of the React Mastery Series on DEV Community, which has been progressively covering advanced React patterns.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

React Router Explained: How SPAs Handle Navigation Without Page Refresh

React Router is a library that enables navigation between components in React Single Page Applications by intercepting URL changes instead of triggering full browser reloads. Core tools like BrowserRouter, Routes, Route, and Link allow developers to map URL paths to specific React components. The useNavigate hook supports programmatic navigation, such as redirecting users after a successful login or form submission. Dynamic URL parameters handled via useParams let applications render content based on values embedded in the URL, like a user ID or account number. Nested routes combined with the Outlet component allow complex layouts where parent and child components render together based on the current URL structure.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Vector stores can't count: why AI agents need relational databases for analytics

AI agents commonly use vector stores to handle memory by embedding facts and retrieving the most similar results for a given query. While this approach works well for fuzzy recall tasks like finding related conversations, it fundamentally fails when asked analytical questions such as counting, grouping, or ranking stored data. Vector stores have no equivalent of SQL's COUNT or GROUP BY, meaning an agent asked 'how many users mentioned pricing this month?' will silently return a confident but incorrect answer derived from only a small sample of records. The recommended fix is a two-layer architecture: a vector store for similarity-based recall and a relational database with a proper query planner for any aggregation or analytical work. The article argues that neither system substitutes for the other, and that scaling up the underlying language model does not bridge the gap between the two fundamentally different retrieval mechanisms.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Indie game Moksha adds non-intrusive tutorial system rooted in Vedic philosophy

Moksha, an indie game built on Vedic karma mechanics and Sanskrit concepts, has introduced a new tutorial mode after early players struggled to understand its deep spiritual systems within the first 30 seconds. Developer scrapped earlier approaches — including pausing the game for tooltips and embedding tutorial logic in the core engine — to avoid breaking immersion and introducing bugs. The new system uses a self-contained TutorialManager class in a separate file that reads game state without writing to it, ensuring zero coupling with existing systems. Instead of pausing gameplay, the tutorial slows game speed to 30 percent, giving players a contemplative pace that lifts back to normal once each card is dismissed. The five-step tutorial guides players through core mechanics like movement, karma collection, and Naama-Jaap, with each step accompanied by a relevant Sanskrit shloka and scriptural attribution.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

MLH Production Engineering Fellow Reflects on Program's Technical and Career Training

A participant in the MLH Production Engineering Fellowship has shared reflections at the halfway point of the program. The fellowship covers a broad technical curriculum including Linux, Docker, NGINX, automated testing, and open-source contributions. Beyond technical skills, the program places strong emphasis on interview preparation and career development. Fellows receive regular feedback through mock technical interviews and maintain close contact with mentors from Meta. The participant credited the MLH team, mentors, and fellow pod members for making the experience rewarding so far.

0 comments Read more at DEV Community