Context Engineering: From Prompting to Production-Ready Coding Agents

The next frontier in AI software isn’t larger models or fancier prompts—it’s context engineering. By architecting how information, tools, and workflow states enter an LLM’s limited ‘working memory,’ teams can transform coding agents from brittle prototypes into reliable production systems.

Supercharging AI Assistants with the Model Context Protocol: A Complete Guide to MCP

Comprehensive guide to the Model Context Protocol (MCP) - Anthropic’s revolutionary open standard that enables AI assistants to securely connect with external tools, databases, and data sources through standardized integrations.