Launched this week
Projects by Wornpage
Keep human and AI work moving, with clear next steps
2 followers
Keep human and AI work moving, with clear next steps
2 followers
Projects keeps owners, blockers, next actions, and evidence of completion together. Organize your work, see what's next, and what needs attention. Connect supported AI agents through MCP so people and agents can work from the same tracked context.
Hey Product Hunt 👋
I’m the maker of Projects by Wornpage—a workspace for keeping human and AI-assisted work connected, from the next action to the pull request.
Coding agents can help produce changes. The harder part is keeping the surrounding context clear: What was the assignment? Who owns it? What is blocked? What was checked? And what still needs a decision?
Projects brings those answers together in a deliberately calm interface. Each work item keeps its owner, blocker, next action, and evidence of completion close at hand.
The Git orchestration is where that connects to development. In a configured repository setup, the workflow takes a scoped assignment into an isolated Git worktree, keeps the required verification attached to the task, and supports publishing the candidate as a draft pull request for review.
Your coding agent runs the model in the environment you already use. Projects coordinates the assignment and handoff. A published PR is not automatically accepted, merged, or deployed—you retain those decisions.
You can also use Projects directly, without starting an agent workflow. The same questions apply whether you are planning the work, doing it yourself, or reviewing a result.
We’re beginning with a North American early-access rollout, focused on real workflows and feedback before the commercial rollout.
I’d love to hear from makers using coding agents: where does context break down most often—assigning the work, checking the result, or returning to it later?
Thanks for taking a look and helping shape what comes next.