A developer named Rasmic built a system called Pluto and documented every architectural decision on camera. This is a system design walkthrough for AI-powered applications, covering real tradeoffs made during construction, not theoretical best practices.
The value here is not the conclusion. It is watching someone reason through competing options in real time. Specific choices around data flow, component boundaries, and AI integration points are explained with context for why alternatives were rejected.
If you are building something that calls an LLM or wraps AI functionality into a product, this is a reference point for how one working system came together. The sponsor is Greptile, a code understanding tool, which signals the target audience: working engineers, not researchers.
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