dragonked2/alphacode/documentation

# Project Name
 
One-line description of what this project does and who it's for.
 
## Quick Start
 

 
Open http://localhost:3000
 
## What It Does
 
2-3 sentences explaining the core value proposition.
No jargon, no buzzwords, no "leverages synergies."
 
## Features
 
- **Feature 1**: What it does and why it matters
- **Feature 2**: What it does and why it matters
- **Feature 3**: What it does and why it matters
 
## Installation
 
### Prerequisites
 
- Node.js 20+
- PostgreSQL 15+
- Redis 7+
 
### Setup
 

 
## Usage
 
### Basic Example
 

 
### Configuration
 
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `apiKey` | string | required | Your API key |
| `timeout` | number | `5000` | Request timeout in ms |
| `retries` | number | `3` | Number of retry attempts |
 
## API Reference
 
### `createClient(options)`
 
Creates a new client instance.
 
**Parameters:**
- `options.apiKey` (string, required): Your API key from the dashboard
- `options.timeout` (number, optional): Request timeout in milliseconds
 
**Returns:** `Client` instance
 
### `client.query(sql, params?)`
 
Executes a SQL query.
 
**Parameters:**
- `sql` (string, required): SQL query to execute
- `params` (array, optional): Query parameters
 
**Returns:** `Promise<QueryResult>`
 
**Throws:**
- `QueryError` if the query is invalid
- `ConnectionError` if the database is unreachable
 
## Development
 

 
## Architecture
 
Brief explanation of the project structure and key design decisions.
Link to more detailed docs if they exist.
 

 
## Contributing
 
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/my-feature`)
3. Commit your changes (`git commit -am 'feat: add my feature'`)
4. Push to the branch (`git push origin feature/my-feature`)
5. Open a Pull Request
 
See [CONTRIBUTING.md](./CONTRIBUTING.md) for detailed guidelines.
 
## License
 
MIT — see [LICENSE](./LICENSE) for details.

paths:
  /users:
    get:
      summary: List all users
      description: Returns a paginated list of users.
      parameters:
        - name: page
          in: query
          schema:
            type: integer
            default: 1
          description: Page number
        - name: limit
          in: query
          schema:
            type: integer
            default: 20
            maximum: 100
          description: Items per page
      responses:
        '200':
          description: Successful response
          content:
            application/json:
              schema:
                type: object
                properties:
                  data:
                    type: array
                    items:
                      $ref: '#/components/schemas/User'
                  pagination:
                    $ref: '#/components/schemas/Pagination'
        '401':
          description: Unauthorized

## List Users
 

 
Returns a paginated list of users.
 
### Query Parameters
 
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| page | integer | 1 | Page number (1-indexed) |
| limit | integer | 20 | Items per page (max 100) |
| sort | string | created_at | Sort field |
| order | string | desc | Sort direction (asc/desc) |
 
### Response
 

 
### Error Response
 

# ✅ Comment the WHY, not the WHAT
# We use 7 here because the WebSocket protocol requires
# a minimum 8-byte frame header, and we need 1 byte for flags
buffer = bytearray(7)
# ❌ Don't comment the WHAT — the code says it
# Create a bytearray with 7 bytes
buffer = bytearray(7)

def binary_search(arr, target):
    """Find target in sorted array using binary search.
    
    Time: O(log n)
    Space: O(1)
    
    The array must be sorted in ascending order.
    Returns the index of target, or -1 if not found.
    """
    left, right = 0, len(arr) - 1
    
    while left <= right:
        mid = left + (right - left) // 2  # avoid overflow
        if arr[mid] == target:
            return mid
        elif arr[mid] < target:
            left = mid + 1
        else:
            right = mid - 1
    
    return -1

# TODO(username): Implement caching for this query
# Reason: Currently hits DB on every request, should cache for 5 min
# FIXME: This breaks when input contains unicode characters
# See: https://github.com/project/issues/123
# HACK: Temporary workaround until upstream fixes the bug
# Remove after upgrading to v2.1.0
# NOTE: This function mutates the input array
# Callers should pass a copy if they need the original

# Changelog
 
All notable changes to this project will be documented in this file.
 
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
 
## [1.2.0] - 2024-01-15
 
### Added
-User authentication with JWT tokens
-Password reset flow via email
-Admin dashboard with user management
 
### Changed
-Migrated from REST to GraphQL API
-Upgraded Node.js from 18 to 20
 
### Fixed
-Race condition in concurrent order processing
-Memory leak in WebSocket connection handler
 
### Removed
-Deprecated v1 API endpoints (use v2 instead)
 
### Security
-Updated bcrypt to patch CVE-2024-XXXXX
 
## [1.1.0] - 2023-12-01
 
### Added
-Batch import functionality for CSV files
-Webhook support for real-time notifications

# ADR-001: Use PostgreSQL as Primary Database
 
## Status
Accepted
 
## Context
We need a database that supports:
-Complex queries with JOINs
-JSONB for flexible schemas
-Full-text search
-ACID transactions
 
## Decision
We will use PostgreSQL as our primary database.
 
## Consequences
 
### Positive
-Excellent JSONB support for flexible data
-Built-in full-text search (no separate search engine needed)
-Strong ecosystem and community
 
### Negative
-More complex setup than SQLite
-Requires separate database server in production
-Team needs to learn PostgreSQL-specific features
 
### Risks
-If we outgrow PostgreSQL, migration to another DB will be costly