◉Do.NUT — AI Dev Automation
From plan to ship,
AI builds it
WebMulti-AgentFull-cycleCode generation
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Features
What AI takes off your plate
💡
Intent analysis
Describe a problem. AI surfaces the root cause, impact, and success metrics.
📋
Scope definition
AI proposes feature scope, user stories, and priorities. You confirm.
🎯
Strategy building
AI designs the tech stack, development sequence, and phase allocation.
🎨
UI mockup generation
Screens, components, and a design system — generated automatically.
🏗️
Architecture design
Module structure, dependencies, and interfaces — laid out by AI.
🤖
Multi-agent
Builder writes code, Reviewer reviews. Agents work in parallel.
📊
Task board
A phase-by-status matrix shows the entire pipeline at a glance.
✅
Automatic validation
User-flow-based validation ensures everything actually connects.
⚙️
Fine-grained control
Parallelism, autonomy, precision, model strength — four sliders to tune AI behavior.
How it works
Three phases to build
📋
Step 1
Planning
Problem definition → scope → strategy. AI writes the spec.
🎨
Step 2
Design
UI mockups and architecture — automatically generated. Review and approve.
🚀
Step 3
Execution
Multi-agents write, review, and validate the code.
All you need is an idea.
The rest is on the AI.
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