Detailed technical breakdowns of architecture decisions, implementation challenges, and general insights on agentic AI systems and industry trends.
Why code-first beats no/low-code once reliability, observability, and cost start to matter (and when I still use the visual tools).
A plain-English explanation of AI agents, agentic systems, and what makes them different from chatbots—plus the production lessons people skip.
The patterns I use to keep LangGraph agents maintainable, testable, and observable in production (including what I got wrong at first).
What changed in my logging and tracing after months of production agent incidents (and what I wish I'd logged from day one).