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Mira — AI Product Management Tool

Mira is a desktop application that acts as an AI-powered product manager. It helps teams go from raw product ideas to structured proposals, implementation tasks, and Jira tickets — all inside a single native app.

Mira Logo


What it does

Propose

Describe a feature, problem, or improvement in plain language. Mira uses GPT-4o to generate a full product proposal including:

  • A rationale for why the feature matters
  • Supporting signals (user feedback, data points)
  • Suggested UI changes and file paths
  • Data model / schema changes
  • A breakdown of development tasks

You can upload files (screenshots, CSVs, documents) as context, and follow up with the built-in Mira AI chat to refine the proposal.

Tasks (Kanban Board)

Once you approve tasks from a proposal, they appear in a Kanban board split into Frontend, Backend, and QA columns. From here you can:

  • Approve or reject individual tasks
  • Preview AI-generated code changes for a task against your live hosted app
  • Accept changes — Mira writes the files, commits, and pushes to GitHub (triggering a Vercel redeploy)
  • Create Jira tickets for approved tasks with one click

Project

Browse your project's file tree and edit files directly inside the app using a Monaco-based code editor.


Tech stack

Layer Technology
Desktop shell Electron
UI framework React + Vite
Auth Supabase (GitHub OAuth)
AI OpenAI GPT-4o Mini
Ticket creation Jira REST API v3
Code editor Monaco Editor

Getting started

Prerequisites

  • Node.js 18+
  • A Supabase project with GitHub OAuth enabled
  • An OpenAI API key
  • A Jira account with an API token (optional, for ticket creation)

Installation

git clone https://github.com/Stunned1/KiroPM.git
cd KiroPM
npm install

Environment variables

Create a .env.local file in the project root:

VITE_SUPABASE_URL=your_supabase_url
VITE_SUPABASE_PUBLISHABLE_KEY=your_supabase_anon_key
OPENAI_API_KEY=your_openai_api_key

# Optional — for Jira ticket creation
JIRA_URL=https://yourworkspace.atlassian.net
JIRA_EMAIL=you@example.com
JIRA_API_TOKEN=your_jira_api_token

Running in development

npm run dev

This starts the Vite dev server and launches Electron concurrently.

Building for production

npm run build

The packaged app is output to the release/ directory.


Live preview & auto-deploy

If your project has a hosted URL in its README.md (e.g. a Vercel deployment), Mira will show a live preview of the app inside the Tasks tab. When you accept an AI-generated feature, Mira:

  1. Writes the generated files to your local project
  2. Creates a git commit
  3. Pushes to the remote repository

This triggers a Vercel (or similar) redeploy, and the preview panel refreshes automatically after ~15 seconds.


Project structure

KiroPM/
├── electron/
│   ├── main.js          # Electron main process, IPC handlers, OpenAI & Jira API calls
│   └── preload.js       # Exposes safe IPC bridge to the renderer
├── src/
│   ├── App.jsx          # Root component, routing, global state
│   ├── Auth.jsx         # GitHub OAuth login
│   ├── Dashboard.jsx    # Project selector (open folder, clone repo, recent projects)
│   ├── Propose.jsx      # AI proposal generation and chat refinement
│   ├── TasksTab.jsx     # Kanban board, live preview, Jira modal
│   ├── ProjectTab.jsx   # File tree + Monaco editor
│   ├── Account.jsx      # User account page
│   └── components/
│       └── SettingsUI.jsx
├── public/
│   └── mira-logo.png
└── .env.local           # Local secrets (not committed)

License

MIT

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kiro lol

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