Introduction: AI agents go beyond simple LLM calls by combining reasoning, planning, tool use, and memory to accomplish complex tasks autonomously. Different agent architectures suit different problems: ReAct agents interleave reasoning and action, plan-and-execute agents create upfront plans, and multi-agent systems coordinate specialized agents. This guide covers building robust agent systems: the ReAct pattern for […]
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GitHub Copilot: A Solutions Architect’s Guide to AI-Assisted Development
GitHub Copilot has fundamentally changed how I approach software development. After integrating it into my daily workflow over the past year, I want to share practical insights on maximizing its value while understanding its limitations. As someone who has been writing code for over two decades, I initially approached AI-assisted development with skepticism, but Copilot […]
Read more →Serverless AI Architecture: Building Scalable LLM Applications
Three years ago, I built my first serverless LLM application. It failed spectacularly. Cold starts made responses take 15 seconds. Timeouts killed long-running requests. Costs spiraled out of control. After architecting 30+ serverless AI systems, I’ve learned what works. Here’s the complete guide to building scalable serverless LLM applications. Figure 1: Serverless AI Architecture Overview […]
Read more →Model Context Protocol (MCP): Building AI-Tool Integrations That Scale
Introduction: The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI assistants to securely connect with external data sources and tools. Think of MCP as a universal adapter that lets AI models interact with your files, databases, APIs, and services through a standardized interface. Instead of building custom integrations for […]
Read more →Tips and Tricks – Implement Idempotent ETL with Merge Statements
Use MERGE (upsert) for safe, rerunnable data pipelines that handle duplicates gracefully.
Read more →Tips and Tricks – Apply Strangler Fig Pattern for Legacy Migration
Gradually replace legacy systems by routing traffic to new implementations incrementally.
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