ai-coding-factory

🥈Silver

AI Coding Factory replaces outsourcing vendors with internal AI for .NET development. Operations teams use it to build and maintain software in-house, with traceability and governance. It integrates with GitHub and Azure DevOps for version control and CI/CD.

147500Updated Today

Intermediate30min to implementautomation

Saves ~480 min per use

Quick InstallView Source

git clone https://github.com/mitkox/ai-coding-factory.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Initialize Repository**: Clone your .NET project from GitHub/Azure DevOps. Ensure CI/CD pipelines are configured with your preferred triggers (e.g., PR merges, scheduled builds). 2. **Generate PR**: Use the prompt template to create a PR for a new feature, bug fix, or refactor. Replace placeholders with your specific context (e.g., [FEATURE_NAME] = "Payment Gateway Integration"). 3. **Review & Iterate**: Paste the AI-generated PR into your Git client or PR description. Review the code snippets, tests, and benchmarks. Ask the AI to refine any section (e.g., "Improve the error handling in UserActivityService.cs"). 4. **Merge & Deploy**: Use Azure DevOps/GitHub Actions to run the pipeline. The AI will automatically update the PR with CI/CD results and performance metrics. Tag releases with semantic versioning (e.g., v1.2.0). 5. **Governance**: Leverage GitHub/Azure DevOps traceability features to link PRs to tickets, track deployments, and audit changes. Use the AI to generate release notes from changelog entries.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/mitkox/ai-coding-factory

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Act as an AI Coding Factory engineer. Generate a pull request for [FEATURE_NAME] in our .NET [PROJECT_NAME] repository. Include: 1) A concise summary of changes, 2) Code snippets for critical logic, 3) Unit tests covering edge cases, 4) Performance benchmarks if applicable, 5) A changelog entry. Use [GITHUB_USERNAME] as the author. Reference ticket [TICKET_NUMBER].

Example Output

## Pull Request: Implement Real-Time User Activity Dashboard

**Summary**
This PR adds a real-time dashboard to track active users in our SaaS platform, reducing manual monitoring overhead by 40%. The feature integrates with Azure SignalR Service and updates metrics every 5 seconds.

**Key Changes**
- Added `UserActivityService.cs` with SignalR hub implementation
- Created `DashboardController.cs` with REST endpoints for metrics
- Implemented `ActivityTrackerMiddleware.cs` to log user sessions
- Updated `appsettings.json` with SignalR and Redis configurations

```csharp
// UserActivityService.cs
public class UserActivityService : Hub {
    private readonly IRedisService _redis;
    public async Task SendActivityUpdate(string userId) {
        await _redis.SetAsync($"user:{userId}:active", DateTime.UtcNow);
        await Clients.All.SendAsync("ReceiveActivityUpdate", userId);
    }
}
```

**Unit Tests**
- `UserActivityServiceTests.cs`: Verifies SignalR message broadcasting
- `DashboardControllerTests.cs`: Tests endpoint responses with mock Redis
- `ActivityTrackerMiddlewareTests.cs`: Validates session logging for 10k concurrent users

**Performance Benchmarks**
- SignalR message latency: <50ms (95th percentile)
- Redis memory usage: 1.2MB for 100k active users
- Endpoint response time: 85ms average

**Changelog Entry**
[FEATURE] Real-time user activity dashboard with SignalR integration
[IMPROVEMENT] Reduced manual monitoring time by 40%
[BUG FIX] Fixed memory leak in session tracking (GitHub #1234)

**References**
- Ticket: PROJ-456
- Azure DevOps Pipeline: https://dev.azure.com/company/proj/_build?definitionId=12