Software architecture and design patterns
A practical decision framework for choosing between RAG, AI agents, and MCP in production AI systems. Includes performance benchmarks, code examples, cost analysis, and migration patterns.
A hands-on guide to production-grade AI workflow orchestration — covering LangGraph checkpointing, Temporal durable execution with retry policies and Saga compensation, and the two-layer architecture for mission-critical agent pipelines.
Your AI agent forgets everything between conversations. Here's how to fix that with production-ready memory architectures using Mem0, Letta, Zep, LangGraph, and Redis — with real code you can ship today.
A hands-on guide to building production-ready multi-agent AI systems in 2026 — covering architecture patterns, MCP, A2A protocols, framework comparisons, and best practices with Python code examples.