From COBOL to GPT: A Three-Stage Architecture Pattern Guide for Connecting Legacy Systems and LLMs
Struggling to put complex legacy systems such as mainframes and COBOL to work in the AI era? This guide presents a three-stage architecture blueprint—from data extraction through intelligent orchestration to final intelligence—so you can ov
A Guide to 3 Architecture Patterns for Reviving Legacy Systems with AI (feat. Modernization Roadmap)
Hesitant to adopt AI because of your legacy systems? This guide shows practical ways to integrate AI successfully with minimal change, using three proven architecture patterns: Strangler Fig, data abstraction, and Wrapper Service.
Resolving Data Bottlenecks in the LLM Era: A Data Mesh-Based Enterprise Data Integration Architecture Roadmap
Despite AI's potential, enterprise data silos remain the biggest bottleneck. This guide presents a concrete architecture roadmap for turning legacy system data into AI-ready "data products" through the Data Mesh paradigm.
Integrating LLMs into Legacy Systems: A Backend Architecture Guide for Adding AI Without a Full Rewrite
This guide presents practical architecture patterns for safely and systematically integrating powerful LLM capabilities without a full rewrite of existing legacy systems. It walks through how to build an adapter layer, RAG, and guardrails s