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Current AI tools work great for small tasks, but break down on complex projects. They don't understand how different parts of your codebase fit together, leading to:
Blueprint Design AI solves this by allowing humans and AI to collaborate on a shared plan, generate a visual architecture graph, then develop components independently with clear boundaries.
By generating shared artifacts (plan.md and graph.yaml), Blueprint also reduces the cognitive load on the user and makes it easier to see what is going on when the AI agent is performing tasks.
Blueprint also aggressively isolates context between different agents, instead opting to use artifacts as the source of truth for shared knowledge. It also implements a clear button handing back to the user so the context window can be minimal. This is to combat context rot, see Nvidia's research and Chroma's research.
Each component in the Blueprint architecture gets its own "expert" agent, which can only "see" that component, leading to cheaper, faster and more reliable generations.
