CLI Tool for Vulnerability Scanning and EU Compliance

The journey of building an AI-powered CLI tool for supply chain security that translates EU compliance requirements into executable code, and what I learned about bridging legal and technical domains.

Context Engineering for LLMs

The practice of strategically structuring and organizing information fed to Large Language Models to optimize response quality and relevance.

Prompt Engineering Best Practices

Systematic techniques for crafting effective prompts that guide Large Language Models toward desired outputs with clarity, consistency, and reliability.

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.