About

I'm Michael Dinh — I build AI agents, explore the rapidly evolving agent landscape, and create open-source projects that solve real problems.

What I Do

My work sits at the intersection of AI and practical engineering. I focus on:

• Building agents — designing autonomous systems that can plan, reason, use tools, and execute multi-step tasks
• Knowledge engineering — creating knowledge graphs from sources like JIRA, Confluence, and git repositories
• Agent landscape research — comparing frameworks, architectures, and approaches to help others navigate the space
• Open-source projects — shipping tools and libraries that make AI agents more accessible

Why This Blog

The AI agent space moves fast. New frameworks, patterns, and capabilities emerge weekly. This blog is where I document what I learn, share project breakdowns, and write tutorials to help others build with agents.

I believe in learning by building. Every post here is grounded in hands-on experience — if I haven't built it or tested it, I won't write about it.

Topics I Cover

• How to work with AI agents from scratch
• The agent landscape — frameworks, tools, and trends
• Building knowledge graphs from enterprise data
• Practical tutorials and step-by-step guides
• Project breakdowns with code and architecture decisions

Get in Touch

Find me on GitHub or LinkedIn. I'm always interested in conversations about AI agents, knowledge systems, and open-source collaboration.