Mahmut Sarikaya - Software Developer
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Blog
Build a Real-Time Sentiment Analysis Service for Live Chat with Edge Functions and LLMs
Learn how to create a low-latency sentiment analysis layer that intercepts live chat messages, streams them to an LLM at the edge, and returns actionable sentiment scores instantly. The guide covers setting up WebSocket connections, deploying Cloudflare Workers for processing, integrating OpenAI's API, and visualizing results in a dashboard for support teams.
How to Build an AI‑Powered Real‑Time Web Accessibility Audit Platform with Lighthouse, OpenAI, and Edge Functions
Learn how to create a real‑time accessibility auditing tool that runs on the edge, leveraging Lighthouse metrics, OpenAI for natural‑language explanations, and serverless edge functions to instantly surface WCAG violations and remediation suggestions for any web page.
Building an AI‑Powered Edge Platform for Real‑Time Environmental Sensor Data
Learn how to create a low‑latency, AI‑driven system that processes environmental sensor streams (e.g., air quality, temperature, humidity) directly at the edge. The guide covers integrating TinyML models for on‑device inference, using LLMs for contextual anomaly explanations, and orchestrating data pipelines with MQTT, InfluxDB, and serverless edge functions like Cloudflare Workers or AWS Greengrass for visualization and alerts.
AI‑Driven Real‑Time Content Moderation on the Edge with LLMs and Cloudflare Workers
This article explores how to build a low‑latency, AI‑powered content moderation system that runs on edge servers using large language models and Cloudflare Workers. It covers tool selection, model deployment strategies, integration with streaming platforms, and practical use cases such as comment filtering and user‑generated image review.
Build an AI‑Powered Real‑Time Voice Assistant on Edge with Whisper, OpenAI API, and Cloudflare Workers
Learn how to create a responsive, privacy‑focused voice assistant that runs on edge infrastructure using OpenAI's Whisper for speech‑to‑text, the OpenAI API for natural language understanding, and Cloudflare Workers for ultra‑low latency execution. The guide covers model deployment, token management, integration with IoT devices, and practical use cases such as smart home control and on‑device customer support.
Building a Real-Time AI‑Powered Cybersecurity Threat Detection Platform with Edge Computing and LLMs
Learn how to design and deploy a real-time threat detection system that leverages large language models for anomaly analysis, runs at the edge with Cloudflare Workers, and integrates with existing SOC tools via serverless APIs. The guide covers data ingestion pipelines, vector similarity for malicious pattern matching, and practical use cases such as ransomware early warning and phishing URL triage.
Build an AI‑Enhanced Real‑Time Serverless CI/CD Pipeline with GitHub Actions, Cloudflare Workers, and LLMs
Learn step-by-step how to create a fully serverless continuous integration and delivery pipeline that leverages large language models to generate code reviews, automated tests, and deployment scripts in real time. The guide covers configuring GitHub Actions, deploying edge functions with Cloudflare Workers, and integrating LLM APIs for intelligent automation, providing practical use cases for faster, more reliable software releases.
AI‑Driven Real‑Time Personalization on Static Sites with Edge Functions & LLMs
Learn how to add AI-powered, real-time content personalization to static sites by leveraging edge functions, LLM-based recommendation engines, and modern serverless tools. The guide covers practical implementation steps, tool selection (e.g., Cloudflare Workers, Vercel Edge Functions, OpenAI API), performance considerations, and real‑world use cases such as news portals, e‑commerce landing pages, and personal blogs.
Build a Real-Time JavaScript Edge Service for Dynamic Feature Flags with Cloudflare Workers and OpenFeature
Learn how to create a low-latency, serverless edge service in JavaScript that empowers product teams to toggle and experiment with features instantly across the globe. The guide covers Cloudflare Workers, the OpenFeature SDK, secure configuration storage, and practical use cases such as A/B testing, gradual rollouts, and emergency rollbacks without redeploying code.
Build a Real-Time JavaScript Edge Function for AI Image Optimization with Cloudflare Workers
Learn how to create a serverless edge function in JavaScript that uses TensorFlow.js models to analyze and compress images on the fly, reducing bandwidth and improving page load speed. The guide walks through deploying the function on Cloudflare Workers, integrating it with a CDN, and handling common image formats in real time for modern web applications.
Building an AI‑Powered Real‑Time Ethical Decision‑Making Assistant for Remote Teams
This article guides readers through creating a real‑time ethical decision‑making assistant that helps remote teams evaluate actions against corporate policies and societal norms. It covers integrating large language models with a dynamic knowledge graph, deploying inference on edge nodes for low latency, and using tools like LangChain, Neo4j, and Cloudflare Workers to ensure privacy, auditability, and seamless collaboration.
Build an AI-Powered Real-Time Multilingual Code Documentation Generator
This article walks through creating a system that automatically generates up‑to‑date, multilingual documentation for codebases as developers push changes. It combines large language models, vector embedding stores, and CI/CD tools like GitHub Actions to parse source code, produce natural‑language docs in multiple languages, and publish them to static sites or Swagger portals in real time.