Tell the agent what you want in plain English. No tickets, no specs, no ceremony.
Agent Mode
Your AI builds it end to end.
Describe what you want in plain English. The agent plans it, writes the code, runs the tests, fixes the errors, and ships — only stopping when it genuinely needs you.
Screenshot placeholder: agent workspace with task panel on the left, live code output in the center, and an integrated preview on the right.
How it works
Four steps, zero babysitting.
From plain-English goal to passing tests, the agent handles every step.
The agent breaks your goal into ordered steps with file-level detail before touching a thing.
Review the plan. Edit, reorder, or remove steps before the agent starts any real work.
The agent writes, runs, and fixes — pausing only when it needs a human decision.
What the agent can do
Not a chat. A full build loop.
Every capability works together so nothing falls through the cracks.
Screenshot placeholder: 12-step agent plan with expand/collapse for each step and an Approve button.
Structured planning
Complex features decompose into ordered steps with exact file targets. Edit or reorder before the agent starts — nothing runs until you say so.
Screenshot placeholder: live activity feed showing file reads, edits, terminal commands, and reasoning bubbles streaming in real time.
Live reasoning feed
Watch every file the agent reads, every edit it makes, and every decision point it hits. Pause and redirect at any moment. Full audit log included.
Screenshot placeholder: agent catching a failing test, reading the stack trace, and applying a fix with a green check on retest.
Self-healing test loop
The agent runs your test suite, reads failures, applies fixes, and retests. The loop continues until green — or until it asks you a specific, answerable question.
Screenshot placeholder: model-routing dropdown showing 17 models grouped by provider alongside a memory panel listing persisted project facts.
Memory and 17 models
Project memory persists naming conventions and architecture across sessions. Auto-routing picks the right model for each step — heavy reasoning, fast edits, long context.