Deep dives into multi-agent AI, code intelligence, and the future of developer tools.
Not every AI task benefits from multi-agent consensus. Knowing when to use it — and when it adds cost without benefit — is one of the most important design decisions in an AI-backed product.
S.A.M.I. exposes an integration server that any Model Context Protocol client can attach to. Here is a practical walkthrough of the connection flow, available tools, authentication, and the design choices we made.
Single-model coding tools make a silent assumption: one AI is enough. We disagree. This post explains the engineering reasoning that led us to build a consensus-first orchestration system and what we learned along the way.