Thoughts on AI, software engineering, and minimalism.
We are treating AI memory like a storage capacity problem, but it is actually an architectural one. Here is why we need to bridge the gap between RAG, Context Windows, and Summarization.
Parallels between PM artifacts (service blueprints, use case diagrams, backlogs) and hexagonal software architecture—and how AI can bridge them.
Why running models locally is the next big shift in AI privacy and performance.