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Mahmut Sarikaya - Software Developer

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Integrating WebGPU for Real-Time 3D Graphics in JavaScript Applications

Integrating WebGPU for Real-Time 3D Graphics in JavaScript Applications

This article explores how to harness the new WebGPU API in JavaScript to deliver high‑performance, real‑time 3D graphics directly in the browser. It covers setup, integration with popular libraries such as three.js, performance comparisons with WebGL, and practical use‑cases like interactive games and data visualizations.

August 21, 202630Detail→
Mastering the JavaScript Temporal API for Accurate Date‑Time Management

Mastering the JavaScript Temporal API for Accurate Date‑Time Management

Explore the new Temporal API and learn how it replaces the legacy Date object with precise, timezone‑aware operations. The guide covers installation, core classes, common pitfalls, and practical examples such as scheduling events, handling user locales, and syncing server timestamps.

August 21, 202660Detail→
Implement Real-Time Collaborative Editing in JavaScript with CRDTs and Yjs

Implement Real-Time Collaborative Editing in JavaScript with CRDTs and Yjs

Learn how to build a scalable, low‑latency collaborative editor using conflict‑free replicated data types (CRDTs) with the Yjs library. The guide covers WebSocket integration, offline persistence, and practical use‑cases like shared documents, code editors, and whiteboards, all implemented in pure JavaScript.

August 21, 202660Detail→
Implementing Observability in JavaScript with OpenTelemetry: Tracing, Metrics, and Logging

Implementing Observability in JavaScript with OpenTelemetry: Tracing, Metrics, and Logging

Learn how to integrate OpenTelemetry into JavaScript applications to gain end‑to‑end visibility across client and server code. The guide covers setting up tracing, exporting metrics, and centralized logging using popular exporters, with practical examples for React, Next.js, and Node.js services.

August 21, 202660Detail→
Building LLM‑Powered Chatbots in the Browser with JavaScript and LangChain.js

Building LLM‑Powered Chatbots in the Browser with JavaScript and LangChain.js

This article explores how to create intelligent chatbots that run entirely in the browser using JavaScript and the emerging LangChain.js library. It covers setting up client‑side LLM inference with WebLLM or the OpenAI API, integrating prompts, memory, and tool usage, and deploying the solution as a lightweight progressive web app.

August 21, 202660Detail→
Harnessing the WebCodecs API for Low‑Latency JavaScript Video Streaming

Harnessing the WebCodecs API for Low‑Latency JavaScript Video Streaming

Explore how the new WebCodecs API empowers JavaScript developers to decode, encode, and transform video frames directly in the browser with minimal latency. The guide covers practical setup, integration with WebRTC and MediaStreamTrack, and real‑world use cases such as live gaming broadcasts and interactive video chat applications.

August 20, 2026130Detail→
Deploy TinyML Models in Browser with TensorFlow.js and WebGPU

Deploy TinyML Models in Browser with TensorFlow.js and WebGPU

Learn how to run lightweight machine‑learning models directly in the browser using TensorFlow.js and the new WebGPU API. The guide covers model conversion, performance tuning, and real‑world use cases like on‑device image classification and speech detection, enabling JavaScript developers to bring AI to the edge without server reliance.

August 20, 2026140Detail→
Leveraging AI-Powered Code Assistants to Accelerate JavaScript Development

Leveraging AI-Powered Code Assistants to Accelerate JavaScript Development

Explore how modern AI code assistants like GitHub Copilot and Claude can be integrated into JavaScript workflows using VS Code extensions and command-line utilities. The guide covers setup, best practices, and real-world use cases that boost productivity while maintaining code quality.

August 20, 2026150Detail→
Building Serverless Edge APIs with JavaScript and Cloudflare Workers

Building Serverless Edge APIs with JavaScript and Cloudflare Workers

Learn how to write JavaScript code that runs at the network edge using Cloudflare Workers, set up the development environment with the Wrangler CLI, and deploy ultra‑low‑latency serverless APIs. The guide includes practical examples such as authentication, caching, and real‑time data processing, showing why edge functions are reshaping modern web development.

August 20, 2026210Detail→
TypeScript for Scalable JS

TypeScript for Scalable JS

This blog post explores the role of TypeScript in developing large-scale JavaScript applications with enhanced maintainability and performance. It delves into how TypeScript's type checking and static analysis capabilities can help developers catch errors early and improve code quality. By leveraging TypeScript, developers can create more robust, scalable, and efficient JavaScript applications.

August 17, 2026400Detail→
Streamline JavaScript

Streamline JavaScript

This blog post explores the importance of code optimization in JavaScript development, highlighting the benefits of using tools like webpack and rollup to streamline the development process. It delves into the concept of tree shaking and how it contributes to reducing bundle sizes and improving application performance. By leveraging these tools and techniques, developers can significantly enhance the efficiency and speed of their JavaScript applications.

August 17, 2026370Detail→
JavaScript Performance Boost

JavaScript Performance Boost

Learn how to leverage Web Workers and Async/Await to improve JavaScript application performance, enabling seamless concurrency and asynchronous programming. Explore practical use cases and tools for optimizing JavaScript code, such as worker threads and parallel processing. Discover how to apply these techniques to enhance user experience and build high-performance web applications.

August 17, 2026390Detail→