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Advanced Prompt Engineering Patterns for Claude in Azure AI Foundry
Model Context Protocol Part 4: Enterprise Integration Patterns – Security, Scaling, and Production Deployment
Model Context Protocol Part 3: Building MCP Servers in Node.js and C# – Cross-Platform Implementation Guide
Model Context Protocol Part 2: Building Your First MCP Server with Python and FastMCP
Model Context Protocol Part 1: Understanding the New Standard for AI-Data Integration
Vector Databases Part 8: Lessons Learned and Reality Check
How to Setup Docker: Complete Installation Guide for Linux, Windows, and macOS
Vector Databases Part 7: Production Deployment Patterns and Operations
Vector Databases Part 6: GraphRAG Architecture and Knowledge Graphs
Vector Databases Part 5: Advanced Optimization and Reranking Strategies 
Business analysts bridge two worlds by translating vague business ideas into precise technical specifications. This challenging role requires understanding both business outcomes and technical constraints to create specs that actually work.
User stories enable rapid iteration and user-focused development when applied correctly. This final post explores when stories work better than use cases, how to write stories that drive good development, and practical techniques for story-driven projects.
Use cases excel at capturing complex business logic and ensuring comprehensive system coverage. This deep dive explores when detailed use case documentation provides more value than overhead, and how to write use cases that actually help.
Use cases and user stories aren’t just different formats—they’re fundamentally different tools for different purposes. Understanding when to use each approach can transform how effectively your team captures and communicates requirements.
Balancing functional features with non-functional quality within real project constraints is where requirements theory meets reality. This final post provides practical frameworks for making trade-off decisions that lead to successful software.
Non-functional requirements are the invisible forces that make or break software in the real world. This deep dive explores performance, security, reliability, usability, and maintainability—the hidden qualities that determine user satisfaction.
Most software failures aren’t caused by missing features—they’re caused by neglecting non-functional requirements. Understanding both functional and non-functional requirements is essential for building software users actually want to use.
Gathering good requirements is only half the battle. The real challenge is transforming user needs into working software while managing inevitable changes and ensuring the final product actually solves the problems you set out to address.
Users rarely know what they actually need, and even when they do, they struggle to communicate it effectively. This guide explores the art and science of gathering requirements that lead to software users actually love.
Real-world case studies reveal what actually works and what fails when systems face exponential growth. This final post examines war stories from successful scaling efforts and catastrophic failures, extracting lessons you can apply to avoid common pitfalls.
