Illustrative walkthrough — not a live run

How Autonoma BuildsA RIGOR-Governed SDLC Run

A scripted walkthrough of the phases a real run moves through. Outputs shown here are examples, not measurements. To see a live run against a real repo, book a demo below.

Step 1 of 5

Natural Language Input

Autonoma Terminal

Input:

"Build a real-time collaborative task management app with:
- User authentication and teams
- Drag-and-drop Kanban boards
- Real-time updates across users
- Task assignments and due dates
- File attachments
- Comment threads
- Email notifications
- Mobile responsive design"
Example output
// Generated by Autonoma AI
import React, { useState, useEffect } from 'react';
import { DragDropContext, Droppable, Draggable } from 'react-beautiful-dnd';
import { useWebSocket } from '@/hooks/useWebSocket';
import { Task, Column } from '@/types';

export const KanbanBoard: React.FC = () => {
  const [columns, setColumns] = useState<Column[]>([]);
  const { sendMessage, subscribe } = useWebSocket();

  useEffect(() => {
    const unsubscribe = subscribe('task:update', (data) => {
      // Real-time updates handled automatically
      updateColumns(data);
    });
    return unsubscribe;
  }, []);

  const onDragEnd = (result: DropResult) => {
    // Optimistic update with automatic rollback
    const update = moveTask(result);
    sendMessage('task:move', update);
  };

  return (
    <DragDropContext onDragEnd={onDragEnd}>
      {/* AI-optimized component structure */}
    </DragDropContext>
  );
};

Want to see this on your own codebase?

The walkthrough above is illustrative. Book a 30-minute call and we'll run a RIGOR-governed pass against a real repo with you.

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