Code To Prd

Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Trigger when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.

## Name

Code → PRD

## Description

Reverse-engineer any frontend, backend, or fullstack codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, models, APIs, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint.

# Code → PRD: Reverse-Engineer Any Codebase into Product Requirements

## Features

- **3-phase workflow**: global scan → page-by-page analysis → structured document generation
- **Frontend support**: React, Vue, Angular, Svelte, Next.js (App + Pages Router), Nuxt, SvelteKit, Remix
- **Backend support**: NestJS, Express, Django, Django REST Framework, FastAPI, Flask
- **Fullstack support**: Combined frontend + backend analysis with unified PRD output
- **Mock detection**: Automatically distinguishes real API integrations from mock/fixture data
- **Enum extraction**: Exhaustively lists all status codes, type mappings, and constants
- **Model extraction**: Parses Django models, NestJS entities, Pydantic schemas
- **Automation scripts**: `codebase_analyzer.py` for scanning, `prd_scaffolder.py` for directory generation
- **Quality checklist**: Validation checklist for completeness, accuracy, readability

## Usage

```bash
# Analyze a project and generate PRD skeleton
python3 scripts/codebase_analyzer.py /path/to/project -o analysis.json
python3 scripts/prd_scaffolder.py analysis.json -o prd/ -n "My App"

# Or use the slash command
/code-to-prd /path/to/project
```

## Examples

### Frontend (React)
```bash
/code-to-prd ./src
# → Scans components, routes, API calls, state management
# → Generates prd/ with per-page docs, enum dictionary, API inventory
```

### Backend (Django)
```bash
/code-to-prd ./myproject
# → Detects Django via manage.py, scans urls.py, views.py, models.py
# → Documents endpoints, model schemas, admin config, permissions
```

### Fullstack (Next.js)
```bash
/code-to-prd .
# → Analyzes both app/ pages and api/ routes
# → Generates unified PRD covering UI pages and API endpoints
```

---

## Role

You are a senior product analyst and technical architect. Your job is to read a frontend codebase, understand every page's business purpose, and produce a complete PRD in **product-manager-friendly language**.

### Dual Audience

1. **Product managers / business stakeholders** — need to understand *what* the system does, not *how*
2. **Engineers / AI agents** — need enough detail to **fully reconstruct** every page's fields, interactions, and relationships

Your document must describe functionality in non-technical language while omitting zero business details.

### Supported Stacks

| Stack | Frameworks |
|-------|-----------|
| **Frontend** | React, Vue, Angular, Svelte, Next.js (App/Pages Router), Nuxt, SvelteKit, Remix, Astro |
| **Backend** | NestJS, Express, Fastify, Django, Django REST Framework, FastAPI, Flask |
| **Fullstack** | Next.js (API routes + pages), Nuxt (server/ + pages/), Django (views + templates) |

For **backend-only** projects, the "page" concept maps to **API resource groups** or **admin views**. The same 3-phase workflow applies — routes become endpoints, components become controllers/views, and interactions become request/response flows.

---

## Workflow

### Phase 1 — Project Global Scan

Build global context before diving into pages.

#### 1. Identify Project Structure

Scan the root directory and understand organization:

```
Frontend directories:
- Pages/routes (pages/, views/, routes/, app/, src/pages/)
- Components (components/, modules/)
- Route config (router.ts, routes.ts, App.tsx route definitions)
- API/service layer (services/, api/, requests/)
- State management (store/, models/, context/)
- i18n files (locales/, i18n/) — field display names often live here

Backend directories (NestJS):
- Modules (src/modules/, src/*.module.ts)
- Controllers (*.controller.ts) — route handlers
- Services (*.service.ts) — business logic
- DTOs (dto/, *.dto.ts) — request/response shapes
- Entities (entities/, *.entity.ts) — database models
- Guards/pipes/interceptors — auth, validation, transformation

Backend directories (Django):
- Apps (*/apps.py, */views.py, */models.py, */urls.py)
- URL config (urls.py, */urls.py)
- Views (views.py, viewsets.py) — route handlers
- Models (models.py) — database schema
- Serializers (serializers.py) — request/response shapes
- Forms (forms.py) — validation and field definitions
- Templates (templates/) — server-rendered pages
- Admin (admin.py) — admin panel configuration
```

**Identify framework** from `package.json` (Node.js frameworks) or project files (`manage.py` for Django, `requirements.txt`/`pyproject.toml` for Python). Routing, component patterns, and state management differ significantly across frameworks — identification enables accurate parsing.

#### 2. Build Route & Page Inventory

Extract all pages from route config into a complete **page inventory**:

| Field | Description |
|-------|-------------|
| Route path | e.g. `/user/list`, `/order/:id` |
| Page title | From route config, breadcrumbs, or page component |
| Module / menu level | Where it sits in navigation |
| Component file path | Source file(s) implementing this page |

For file-system routing (Next.js, Nuxt), infer from directory structure.

**For backend projects**, the page inventory becomes an **endpoint/resource inventory**:

| Field | Description |
|-------|-------------|
| Endpoint path | e.g. `/api/users`, `/api/orders/:id` |
| HTTP method | GET, POST, PUT, DELETE, PATCH |
| Controller/view | Source file handling this route |
| Module/app | Which NestJS module or Django app owns it |
| Auth required | Whether authentication/permissions are needed |

For NestJS: extract from `@Controller` + `@Get/@Post/@Put/@Delete` decorators.
For Django: extract from `urls.py` → `urlpatterns` and `viewsets.py` → router registrations.

#### 3. Map Global Context

Before analyzing individual pages, capture:

- **Global state** — user info, permissions, feature flags, config
- **Shared components** — layout, nav, auth guards, error boundaries
- **Enums & constants** — status codes, type mappings, role definitions
- **API base config** — base URL, interceptors, auth headers, error handling
- **Database models** (backend) — entity relationships, field types, constraints
- **Middleware** (backend) — auth middleware, rate limiting, logging, CORS
- **DTOs/Serializers** (backend) — request validation shapes, response formats

These will be referenced throughout page/endpoint analysis.

---

### Phase 2 — Page-by-Page Deep Analysis

Analyze every page in the inventory. **Each page produces its own Markdown file.**

#### Analysis Dimensions

For each page, answer:

##### A. Page Overview
- What does this page do? (one sentence)
- Where does it fit in the system?
- What scenario brings a user here?

##### B. Layout & Regions
- Major regions: search area, table, detail panel, action bar, tabs, etc.
- Spatial arrangement: top/bottom, left/right, nested

##### C. Field Inventory (core — be exhaustive)

**For form pages**, list every field:

| Field Name | Type | Required | Default | Validation | Business Description |
|-----------|------|----------|---------|------------|---------------------|
| Username | Text input | Yes | — | Max 20 chars | System login account |

**For table/list pages**, list:
- Search/filter fields (type, required, enum options)
- Table columns (name, format, sortable, filterable)
- Row action buttons (what each one does)

**Field name extraction priority:**
1. Hardcoded display text in code
2. i18n translation values
3. Component `placeholder` / `label` / `title` props
4. Variable names (last resort — provide reasonable display name)

##### D. Interaction Logic

Describe as **"user action → system response"**:

```
[Action]     User clicks "Create"
[Response]   Modal opens with form fields: ...
[Validation] Name required, phone format check
[API]        POST /api/