NeuroPilot

Intelligence that ships.

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🧠 NeuroPilot

Software that builds, secures, and ships itself.

NeuroPilot is an AI-powered DevOps teammate that automates the most critical parts of the software development lifecycle. Instead of manually handling testing, code review, security checks, and deployment preparation, NeuroPilot uses intelligent agents to perform these tasks automatically when developers push code.

💡 Inspiration

Modern software development has evolved rapidly with AI writing code, but a major gap still exists in everything that happens after code is written. Developers still spend countless hours on testing, reviewing, securing, and deploying their work.

We asked a simple question: What if AI didn’t just assist developers—but actually acted on their behalf?

NeuroPilot was inspired by the idea of creating a true AI DevOps teammate—one that actively participates in the development lifecycle.

⚙️ What it does

NeuroPilot is an autonomous multi-agent system that reacts to code events in real time.

When a developer pushes code, NeuroPilot automatically:

  • 🧪 Generates test cases (TestPilot)
  • 🧠 Reviews code quality (ReviewPilot)
  • 🔐 Scans for vulnerabilities (SecurePilot)
  • 🚀 Simulates deployment readiness (DeployPilot)

This transforms the traditional development workflow into a fully automated, intelligent pipeline.

🛠 How we built it

NeuroPilot is built as a modular, event-driven system:

  • Backend: Node.js with Express
  • AI Engine: OpenAI API
  • Architecture:
  Webhook → Route → Orchestrator → Agents
  • Agents: Independent modules (Test, Review, Security, Deploy)
  • Orchestrator: Coordinates all agents into a unified workflow
  • Integration: GitLab Webhooks
  • Local Development: localtunnel / ngrok

Each agent:

  • Analyzes commit data
  • Generates actionable output
  • Works both independently and as part of a pipeline

⚔️ Challenges we ran into

  • Setting up webhook communication and tunneling for local development
  • Designing a reliable event-driven system
  • Ensuring consistent and useful AI outputs
  • Coordinating multiple agents in a seamless workflow

🏆 Accomplishments that we're proud of

  • Built a multi-agent AI system, not just a chatbot
  • Implemented real-time event-driven automation
  • Designed a scalable and modular architecture
  • Created a working prototype of autonomous DevOps workflows
  • Demonstrated how AI can take action, not just assist

📚 What we learned

  • Building event-driven systems using webhooks
  • Structuring scalable AI applications with modular agents
  • Orchestrating multiple AI systems into a cohesive pipeline
  • Handling real-world DevOps challenges
  • The difference between AI assistance and AI automation

🚀 What's next for NeuroPilot

  • Deep GitLab integration (auto merge requests, comments, pipeline control)
  • Smarter agents with memory and learning capabilities
  • Automatic bug and vulnerability fixes
  • Dashboard to visualize agent activity
  • Multi-platform support (GitHub, Bitbucket)
  • Full CI/CD automation with minimal human intervention

⚙️ Getting Started

1. Clone the Repository

git clone https://gitlab.com/arsman/neuropilot.git
cd neuropilot

2. Install Dependencies

npm install

3. Setup Environment Variables

Create a .env file:

PORT=3001
OPENAI_API_KEY=your_api_key_here

4. Run the Server

node index.js

5. Start Tunnel (for webhook testing)

npx localtunnel --port 3001

🧪 Simulation

You can test NeuroPilot locally by sending a mock request:

curl -X POST http://localhost:3001/test-push \
-H "Content-Type: application/json" \
-d '{
  "ref": "refs/heads/main",
  "commits": [
    {
      "id": "c1a2b3c4",
      "message": "feat: add user login",
      "author": { "name": "User" },
      "added": ["auth.js"],
      "modified": ["index.js"]
    }
  ]
}'

❤️ Built for the Future of Autonomous DevOps

NeuroPilot represents a shift from manual workflows → autonomous execution, where AI doesn’t just assist developers—it becomes part of the team.

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