AI-assisted development becomes a coordination problem long before it becomes a model problem:
- one agent is editing while another waits for permission;
- a third needs the app server and its real URL;
- logs are hidden in terminal tabs;
- two projects both assume port
3000; - completed work is scattered across chats, worktrees, and diffs.
Warpforge turns that sprawl into one visible workflow:
Mission Control for active work
Running, blocked, interrupted, and review-ready sessions across every project, with live conversation previews — no hunting through terminals.
The environment travels with the task
Agents receive live service URLs, resolved ports, files, and project context instead of guessing how to run the app.
Parallel work without checkout collisions
A task can run in its own git worktree while staying attached to the same project.
Human control at the moments that matter
Permission requests, commands, tool calls, changed files, and diffs stay visible before work moves forward.
From agent output to a reviewed branch
Unified or split diffs, hunk-level accept/reject, inline edits, commit, update, push, and pull request from the same workspace.
A lead agent when the task outgrows one session
An orchestrator delegates bounded work to sub-agents, and every child task stays visible.
Repeatable workflows when a prompt is not enough
Put different agents and models into explicit plan, implement, review, and fix stages; Warpforge drives the transitions and stops when a human decision is needed.
That combination is what makes Warpforge an ADE rather than another coding agent: part cross-harness orchestrator, part project runtime, part review surface.