Mahmut Sarikaya - Software Developer
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Building Scalable GraphQL APIs with .NET 8 Minimal APIs and Hot Chocolate
Explore how to combine .NET 8 Minimal APIs with the Hot Chocolate GraphQL library to create high‑performance, schema‑first APIs. The guide covers project setup, type‑safe schema definition, authentication integration, and real‑world scaling patterns for microservice architectures.
Observability‑First .NET 8 Microservices with OpenTelemetry, Prometheus & Grafana
Learn how to instrument .NET 8 microservices for end‑to‑end observability using OpenTelemetry SDKs, export traces to Jaeger or Zipkin, and push metrics to Prometheus for Grafana dashboards. The guide covers practical setup, best‑practice configurations, and real‑world deployment on Kubernetes, ensuring reliable monitoring and faster issue resolution.
Boost API Performance with .NET 8 Source Generators and System.Text.Json
Learn how to use .NET 8 source generators to create compile‑time JSON serializers with System.Text.Json, dramatically reducing runtime overhead for high‑throughput APIs. The guide covers setup, integration with minimal APIs, AOT compilation tips, and real‑world benchmarking results for enterprise‑grade services.
Deploy .NET 8 Native AOT to AWS Lambda for Ultra‑Fast Serverless Functions
Explore how to compile .NET 8 projects with Native AOT into lightweight native binaries and run them as custom runtimes on AWS Lambda. The guide walks through project setup, dependency trimming, packaging, and deployment, showing measurable latency improvements and cost benefits for serverless C# workloads.
Build Real-Time Collaborative Mapping with .NET 8, SignalR, and Azure Maps
Learn how to build interactive, multi‑user mapping solutions using .NET 8 Minimal APIs, SignalR for low‑latency WebSocket communication, and Azure Maps for geospatial rendering. The guide covers architecture design, authentication with Azure AD, scaling strategies, and practical code samples for synchronizing map data across browsers in real time.
Designing Event-Driven Serverless Architectures with .NET 8, Azure Functions, and Dapr
Explore how to combine .NET 8's latest performance features with Azure Functions and Dapr to build scalable, event‑driven serverless applications. The guide covers setting up Dapr sidecars, publishing/subscribing to CloudEvents, and deploying C# function apps that react instantly to changes in storage, messaging, or APIs.
Real-Time AI-Powered Content Moderation in the Browser with TensorFlow.js, Web Workers, and WebGPU
Discover how to build an on‑device, privacy‑preserving content moderation pipeline that runs entirely in the browser. This tutorial walks through selecting lightweight TensorFlow.js models, accelerating inference with WebGPU, offloading computation to Web Workers for smooth UI, and integrating the system into chat or comment sections for instant abuse detection.
Run Transformer Text Summarization in the Browser with WebGPU & TensorFlow.js
Learn how to leverage WebGPU acceleration and TensorFlow.js to load and run lightweight transformer models entirely in the browser for instant text summarization. The guide covers model conversion, performance tuning with GPU shaders, and practical integration into JavaScript web apps.
Building AI‑Powered Real‑Time Code Assistants in the Browser
Learn how to create a responsive, in‑browser code assistant that leverages OpenAI's function‑calling API, runs heavy parsing and suggestion logic in WebAssembly, and integrates seamlessly with modern JavaScript editors. The guide covers setting up the OpenAI SDK, compiling a lightweight analysis engine to WASM, and wiring real‑time feedback into VS Code extensions or web‑based IDEs.
Build Serverless Edge AI Functions with Deno Deploy and Supabase Edge Runtime
Learn how to create ultra‑low latency AI endpoints that run at the network edge using Deno Deploy and Supabase Edge Runtime. The guide covers deploying WebAssembly‑based models, integrating Supabase's edge database, and exposing secure serverless JavaScript functions for real‑time inference.
Build AI-Powered Minimal APIs with .NET 8, Azure OpenAI & Semantic Kernel
Learn how to create lightweight, high‑performance Minimal API services in .NET 8 that harness Azure OpenAI and Microsoft Semantic Kernel to add natural‑language understanding, content generation, and reasoning capabilities. The guide covers project scaffolding, authentication with Azure AD, prompt engineering, async streaming responses, and deployment to Azure Container Apps with best‑practice observability and scaling.
Harnessing WebNN API for Hardware‑Accelerated AI in JavaScript
Explore the emerging WebNN API that lets JavaScript code run neural networks directly on device GPUs, NPUs, and other accelerators. Learn how to set up a WebNN pipeline, integrate it with WebGPU for custom kernels, and build real‑world use cases such as on‑device image classification and speech recognition without server round‑trips.