Learning out loud while building, teaching, and becoming.
I’m Samuel. This is my corner for the things I’m learning in public: AI systems, developer tools, community, career, and the quieter lessons that come from paying attention to the work and the life around it.
- Technical notes on agents, retrieval, local AI, and the systems I’m trying to understand.
- Field notes from DevRel, speaking, teaching, and working with developer communities.
- Life in progress on career, becoming, place, family, and the bits I’m still figuring out.
Learning Out Loud
New essays, technical notes, and reflections when I publish. Mostly what I’m learning, what surprised me, and what I’m still figuring out.
Latest Notes
Browse the archive-
Borrowed confidence is fragile in agentic systems
Production-like evals revealed the retrieval architecture I actually needed and reminded me that confidence in agentic systems has to be earned, not borrowed.
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The lethal trifecta in AI agents
When agents can read private data, process untrusted content, and communicate outward, prompt injection becomes a much more serious security problem.
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How Plan Caching Reduces LLM Agent Costs
Plan caching reuses planning templates across similar agent tasks, cutting cost and latency without throwing away accuracy.