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About

Built for the handoff nobody wanted to manage manually

AppHandoff exists because generated frontends and production backends drift unless someone owns the coordination layer.

The problem we solve

AppHandoff was built by developers who experienced the AI prototype-to-production gap firsthand. After watching multiple teams struggle to ship Lovable and Bolt prototypes to real backends, we built the coordination layer that was missing: shared context via MCP, agent-published contracts, and a Kanban board where agents and humans work side by side.

The dangerous part of AI-assisted delivery is not code generation. It is the gap between one repo's assumptions and another repo's reality. A Lovable frontend calls endpoints that the backend has not implemented yet. A backend refactor changes a response schema that the frontend still expects in the old shape. Neither side knows about the other's changes until staging blows up.

What the product believes

AppHandoff treats that gap as a first-class workflow with published contracts, tickets, and reviewable plans. Agents publish the API contract as they build, so the other side codes against the real shape instead of a guess. Handoff tickets carry the endpoint path, acceptance criteria, and role ownership. Implementation plans are drafted with project context so the fix is unambiguous.

The product leans toward PR-first delivery, machine-readable context, and visible role ownership rather than opaque background automation. Agents draft; humans approve. Every action is auditable.

How the team approaches it

We favour small, reviewable changes over large batch deployments. Every feature ships through a pull request, every agent action is logged, and every implementation plan is visible to the next person who picks up the ticket.

We are based in the Netherlands and operate as part of Team K2K. The platform is built for solo developers, agencies managing multiple client projects, and engineering teams integrating AI tools into their existing workflows.

AI agents as first-class contributors

The product is built on a conviction that AI coding agents are most valuable when they operate within guardrails. Agents should not commit directly to production branches. They should draft plans, open pull requests, and wait for human approval. AppHandoff enforces this workflow while making agents dramatically more productive.

When an agent connects to AppHandoff via MCP, it gets structured access to the project state it needs: project rules, published contracts, open tickets, milestones, and implementation history. It does not need to infer project state from file trees or README prose. The context is structured and tool-accessible.