Most assistants are serial
One long thread slows everything down. Research, edits, and validation fight for the same context window.
Parallel, observable, long-running AI coding workflows
for real software teams.

Real screenshots from the desktop and mobile apps.
Current AI coding tools share the same fundamental bottlenecks.
One long thread slows everything down. Research, edits, and validation fight for the same context window.
You cannot see what parallel tasks are doing or where they are blocked, so trust drops in complex work.
Long sessions get expensive and unstable. Teams restart often, losing execution momentum.
Built for teams running real engineering workflows, not just one-off chat completions.
Manager Agent keeps user intent intact, Execution Agent drives progress, and SubAgents handle deep subtasks.
Tool calls and SubAgent tasks run in parallel so multi-module investigations finish faster than serial chat loops.
See active sub tasks, status, and outcomes while the main conversation continues. Parallel work is visible, not hidden.
Large tool outputs are cached and recalled on demand, while long history is compacted to keep long sessions stable.
Work across local projects, remote hosts, and cloud containers with workspace-level isolation and consistent workflows.
Code intelligence, terminal, Git, MCP tools, and skills all stay inside one execution flow from analysis to delivery.
Start with the quick guide, or jump directly into the web app.