All Articles

Cutting Inference Costs: kv-cache and batching for inference serving in .NET

Learn how .NET teams can slash LLM inference spend with KV‑cache tricks and smart batching. Real‑world code, Azure OpenAI tips, and production‑ready patterns.

Career Development Goals for Backend Engineers: Scale GraphQL APIs

Discover a production‑grade roadmap for backend engineers, with concrete skill goals, SMART metrics, and real‑world case studies to accelerate your career development.

Implementing the Outbox Pattern with Entity Framework Core for Reliable Event Publishing

Learn how to implement the outbox pattern with EF Core, achieve transactional event publishing, and avoid distributed transaction pitfalls in .NET production systems.

Legacy Runtime Emulator Selection: Debugging API Mismatches at Scale

Learn how to evaluate, benchmark, and choose the right legacy runtime emulator for production‑grade modernization, with performance, cost, and debugging considerations.

MCP Server vs Function Calling .NET AI Integrations: What Really Changes in Production

Explore how MCP Server and Azure OpenAI function calling reshape .NET AI integrations, from latency and state handling to multi‑agent orchestration and cost optimization.

Semantic Kernel vs LangChain latency and throughput benchmarks: A Production‑Ready Deep Dive

Explore the Semantic Kernel vs LangChain latency and throughput benchmarks with real‑world data, code snippets, and actionable guidance for senior engineers building agentic AI services.

Six Landing Pages, Each Mapped to a Number

Self-Attention vs. Cross-Attention in .NET RAG: Architectural Trade‑offs You Must Know

Explore the real engineering trade‑offs between self‑attention and cross‑attention in .NET Retrieval‑Augmented Generation, with production‑ready patterns, profiling tips, and scaling guidance.

A PageSpeed Score of 76 and Five Separate Bugs Behind It

Optimizing Hangfire Queues for AI Agent Tasks: 10k QPS Benchmark

Learn how to optimize Hangfire queues for AI agent tasks with concrete scaling patterns, retry policies, and production‑ready monitoring for ASP.NET Core back‑ends.

What "Reliable" Actually Means for an LLM-as-Judge System

Advanced BPE tokenizer customization for .NET LLMs

Learn how to engineer advanced BPE tokenizer customization for domain‑specific corpora, integrate it into .NET LLM pipelines, and optimize performance for production workloads.

When to Build a Single LLM Orchestration Layer

MCP Server Tracing and Observability: End‑to‑End Tool Call Debugging in Production

Learn how to instrument, monitor, and troubleshoot MCP server tool calls with OpenTelemetry, Azure Monitor, and Semantic Kernel for reliable, production‑grade observability.

The Logs Were Missing. So Was the Deploy Pipeline's Connection to the Server — and Nothing Said So.

Designing a Scalable Multi-tenant MCP Server for SaaS Platforms

Explore a production‑ready multi-tenant MCP server design that balances isolation, security, and Azure‑scale for modern SaaS platforms.

I Added Analytics and Doubled the Homepage's JavaScript. I Caught It Before Anyone Else Did.

Bulkhead pattern in API gateway: Prevent cascading failures

Learn how the bulkhead pattern in API gateway can isolate services, prevent cascading failures, and boost resilience in large‑scale microservices deployments.

A Free Trial Behind a Flag Nobody Could Flip Without Logging In Themselves

Short URL Identifier Scheme vs Random: Performance Impact

Explore how to pick a short URL identifier scheme that meets performance, security, and scaling goals. Compare random, sequential, and hash‑based approaches with concrete metrics and production‑ready patterns.