Blog
What I Mean by Practical AI Engineering
Practical AI engineering means building reliable AI systems with backend discipline: clear boundaries, evaluation, observability, and maintainable software around the model.
How Backend Engineers Should Think About AI Agents
A backend-first guide to designing AI agents with clear boundaries, safe tools, explicit state, handoff contracts, and verification.
What MCP Is and Why Backend Engineers Should Care
A practical explanation of MCP through the lens of APIs, integrations, and tool access.