AI Knowledge Exchange

A living notebook of AI engineering learnings, cautions, and tools. The focus is on using LLMs as a force multiplier while keeping ownership of architecture, code quality, and system safety.

What you will find here

• Practical guidance on working with AI assistants
• Notes on providers and data safety
• Learning projects with links and key takeaways
• Tooling notes for MCPs and agent workflows
• Environment and terminal tips for daily work

Start with the AI Learnings section, then scan projects and tools as needed.