<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Web Development on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/web-development/</link><description>Recent content in Web Development on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/web-development/index.xml" rel="self" type="application/rss+xml"/><item><title>Server-Sent Events</title><link>https://terms-en.ai-term-hub.com/en/terms/server_sent_events/</link><pubDate>Sat, 18 Jul 2026 10:15:20 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/server_sent_events/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Server-Sent Events (SSE) enable one-way communication from the server to the client, where the server can stream data continuously without the client repeatedly polling. It uses plain HTTP, making it simpler to implement than WebSockets, especially when firewalls block non-HTTP protocols. SSE automatically handles reconnection logic and ensures message ordering, making it ideal for live feeds, notifications, and dashboards where the client does not need to send frequent data back to the server.&lt;/p></description></item><item><title>Parallel Web Systems</title><link>https://terms-en.ai-term-hub.com/en/terms/parallel_web_systems/</link><pubDate>Sat, 18 Jul 2026 10:10:21 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/parallel_web_systems/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Parallel Web Systems refer to infrastructure designs where computational tasks are divided and executed simultaneously across multiple servers or processors connected via a network. This approach significantly enhances throughput and reduces latency for high-traffic web applications. By distributing load and processing power, these systems ensure scalability and fault tolerance, allowing organizations to manage massive amounts of data and user requests without performance degradation. They often utilize message queues, load balancers, and distributed databases to coordinate parallel execution effectively.&lt;/p></description></item><item><title>GraphQL</title><link>https://terms-en.ai-term-hub.com/en/terms/graphql/</link><pubDate>Sat, 18 Jul 2026 10:00:16 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/graphql/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Developed by Facebook, GraphQL provides a complete and understandable description of the data in your API, giving clients the power to ask for exactly what they need and nothing more. It replaces multiple endpoints for REST APIs with a single endpoint, reducing over-fetching and under-fetching of data. The schema-driven approach ensures type safety and enables powerful tooling for developers, making it a popular choice for modern web and mobile application backends.&lt;/p></description></item></channel></rss>