Cubedot - AI product-architect platform that codes and reports back
About Cubedot
AI product-architect platform and system architecture that takes a raw idea to a fully specified blueprint: brief, features, tech stack, UX, database schema, risks, design system and screens + a complete list of steps on how to prioritize the features;
Connected to code through a development cli (it is handed directly to AI coding agents, which report their progress back into the platform) and following the steps necessary to completely develop a project from start to finish; while maintaining a features list, progress, and which developer is currently working on what part of the system.
Challange
Designing a chain of steps where each one builds on the ones before it. Features feed screens, screens feed the data model, and all of it feeds the build. A change in one place has to reach everything that depends on it, including work that is already built, without the team losing track of what changed and why.
Turning an open-ended conversation into a structured specification that stays consistent. The same brief could come back as 8 features on one run and 18 on the next. Both versions were valid, they just divided the product differently, and every later step multiplied that difference.
Connecting the specification to the agents that actually build the product, and getting honest progress back. In early end-to-end builds, agents marked features as finished and passing while key paths had never been run once. A "done" status meant nothing until something in the system was allowed to refuse it.
Bringing real designs into the specification without forcing one workflow. Some teams arrive with complete Figma files and others with nothing. Screen states are never fully known up front. They appear during design, and some belong to a whole screen while others belong to a single component.
Approach
Splitting the product definition into ordered steps, each producing a structured artifact with stable IDs. The AI edits precise fields instead of rewriting whole documents, so it never overwrites the user's work.
Keeping the live draft as the single source of truth and deriving the changelog by comparing it against the last approved version. The change history can never drift from what is actually in the specification.
Exposing the specification to coding tools through an MCP server and a CLI, backed by a verification chain. The final verdict inherits its weakest check, and a human checklist gates "done".
Offering two paths for design. Designs can be read through the developer's own Figma tools, or fetched by the platform through the Figma API, which also works on free accounts. Frames sync in batches to stay within Figma's request limits.
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