Mixing humans and AI assistants means juggling tools, context, and handoffs. The flow gets in the way.
Requests stall in tickets before they ever become code
AI assistants work in silos, without the full project context
No way to define how humans and AI should collaborate
One platform to request, define, and ship.
Request a feature or change. Watch it implemented in real time, with humans in the loop where it matters.
Describe exactly how you want to work. Which steps go to humans, which to AI, and when each takes over.
Route work to the right mix of engineers and AI assistants. Each does what it is best at.
Connect every tool in your stack through the Model Context Protocol. One standard for everything.
Watch every execution unfold live via SSE. Every step, every event, as it happens.
Epics, features, tasks, bugs — all workflow-driven and AI-aware.
Four pieces that work together.
A development flow designed for teams that work alongside AI assistants.
Describe what you need. Watch features and changes implemented in real time.
Create workflows that explain exactly how you want to work.
Interact with humans and AI assistants to get the best from each.