enabling AI's Full Potential: Bridging the Gap from Sandbox to Production

Two agents, same ceiling

Lovable will ship you a working prototype in a coffee break. Cursor can refactor a 200-file real codebase in an afternoon. Both are genuinely impressive, both enable something real, and both have the same blind spot: context.

The sandbox agent forgets your stack the second you close the tab. The file-system agent reads your repo and invents its own conventions. Neither one carries your engineering decisions from prototype to production — because the context they need isn't in the model, it isn't in the prompt, and it isn't on the splash page of the tool. It lives in the repo, in files most projects never write.

Here's how to actually fix that.

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This is an excerpt. Read the full post at otf-kit.dev/blog/own-your-ai-context — full-stack kits your AI coding agent can actually ship to production. Browse the kits →