How to Choose the Right LLM for Your Use CaseJun 15, 202610 min readA practical framework for selecting the right large language model — covering use case mapping, cost vs capability tradeoffs, latency, context windows, and deployment constraints.aillmmodel-selectiongptclaudegeminillamaagentsstrategy
AI Gateway Patterns for LLM AppsMay 24, 20266 min readHow AI gateways help LLM apps control cost, latency, routing, caching, and policy enforcement in production.aillmgatewayroutingcachingobservability
Agent-to-Agent Protocols in PracticeMay 16, 20265 min readPractical architecture patterns for agent handoffs, contracts, retries, and safety checks in multi-agent systems.aiagentsprotocolsorchestrationmulti-agent
AI Security Red Teaming for Agent SystemsMay 16, 20265 min readA practical approach to continuously red team AI agents against injection, abuse, and data exfiltration risks.aisecurityred-teamagentsprompt-injection
Model Context Engineering Beyond RAGMay 16, 20265 min readWhy context shape has become the primary determinant of quality in modern LLM products.aicontext-engineeringragretrievalagents
From Vibe Coding to Reliable SoftwareMay 16, 20265 min readHow teams can keep AI-assisted development fast while introducing quality gates that prevent regressions.aicodingengineeringqualitydevops
AI Agents: How Agentic Workflows Actually WorkMay 3, 20256 min readA practical breakdown of AI agents — how they plan, use tools, manage memory, and orchestrate multi-agent workflows to solve complex tasks autonomously.aiagentsllmagentic-workflowstool-usemulti-agent
AI Coding Assistants Compared: Copilot, Cursor, and WindsurfMay 3, 20255 min readA practical comparison of the leading AI coding assistants — GitHub Copilot, Cursor, and Windsurf — covering features, agent capabilities, model access, and how to choose.aicopilotcursorwindsurfdeveloper-toolscode-assistantide
Building AI Apps with Azure AI FoundryMay 3, 20256 min readA developer's guide to Azure AI Foundry — the model catalog, deployments, prompt engineering playground, agent framework, evaluation tools, and building production AI applications.aiazureazure-ai-foundryllmagentsmodel-catalogevaluation
MCP Servers and How They Power AI WorkflowsMay 3, 20256 min readAn introduction to the Model Context Protocol (MCP), how MCP servers work, and why they are a game-changer for AI-powered development workflows.aimcpllmagentsdeveloper-toolsmodel-context-protocol
RAG Explained: Retrieval-Augmented Generation for DevelopersMay 3, 20256 min readA developer's guide to Retrieval-Augmented Generation (RAG) — the architecture, chunking strategies, vector databases, and when to use RAG over fine-tuning.airagllmvector-databaseembeddingssearch
Running Local LLMs: Ollama, LM Studio, and BeyondMay 3, 20256 min readA practical guide to running large language models locally on your own hardware — covering Ollama, LM Studio, hardware requirements, and when local beats cloud.aillmollamalm-studiolocal-aiprivacyself-hosted
Azure Services Overview for DevelopersJun 22, 20242 min readA developer-focused guide to Azure compute, storage, databases, security, monitoring, messaging, and deployment services.azureclouddeveloperpaasiaasazure-services
Network Protocols and the OSI ModelMay 28, 20242 min readA quick reference guide covering common network protocols, the OSI layers they operate at, networking devices, and well-known port numbers.networkingprotocolsosi-modelports