This is a submission for the GitHub Copilot CLI Challenge*
🚀 What I Built
I built InfraCopilot, an AI-powered DevOps automation CLI that transforms natural language into production-ready infrastructure, deployment workflows, and cloud automation.
Modern developers and DevOps engineers spend a significant amount of time writing Terraform, configuring Kubernetes, setting up CI/CD pipelines, and troubleshooting infrastructure. These tasks are essential but repetitive, time-consuming, and prone to errors.
InfraCopilot solves this problem by allowing users to describe their infrastructure and deployment needs in plain English. The tool automatically generates Terraform, Kubernetes manifests, Dockerfiles, GitHub Actions workflows, and architecture diagrams. It also provides log diagnosis, cost optimization insights, and self-healing recommendations.
The goal of this project is to improve developer productivity, reduce operational complexity, and accelerate the journey from idea to production. This project demonstrates how AI and developer tooling can make DevOps workflows faster, more reliable, and accessible to everyone.
Key capabilities include:
- Natural language → Infrastructure automation
- Terraform generation for cloud environments
- Kubernetes deployment automation
- Dockerfile and container best practices
- CI/CD workflow automation
- Architecture diagram generation
- Infrastructure diagnosis and troubleshooting
- Cost optimization suggestions
- AI self-healing recommendations
InfraCopilot is designed as a terminal-first, developer-friendly tool that works offline and embeds DevOps best practices by default.
🎬 Demo
🔗 GitHub Repository:
https://github.com/anaskmh/InfraCopilot
🎥 Demo Video:
(Add your video link here)
*
During the demo, I showcase how InfraCopilot:
- Checks system readiness using the doctor command
- Initializes a new DevOps project
- Generates Terraform for AWS EKS in seconds
- Creates Kubernetes deployments with best practices
- Automates CI/CD pipeline generation
- Builds architecture diagrams automatically
- Diagnoses real infrastructure failures
- Provides cost optimization insights
- Suggests self-healing infrastructure improvements
This demonstrates how developers can automate complex cloud and DevOps workflows with simple commands.
⭐ My Experience with GitHub Copilot CLI
GitHub Copilot CLI played a critical role in building InfraCopilot. It significantly accelerated development and enabled rapid experimentation across different modules.
I used Copilot CLI to:
- Generate initial project scaffolding and CLI structure
- Design modular architecture and command workflows
- Create Terraform, Kubernetes, and CI/CD templates
- Improve error handling and developer experience
- Optimize code quality and maintainability
- Debug issues quickly through natural language prompts
Copilot helped reduce the time required to design and implement complex DevOps automation logic. It allowed me to focus more on innovation, architecture, and user experience rather than repetitive coding tasks.
The most impactful aspect was how Copilot assisted in translating ideas into working features almost instantly. It acted as a real-time development partner, helping refine implementation, improve best practices, and accelerate productivity.
Overall, GitHub Copilot CLI transformed my development workflow and demonstrated how AI can empower developers to build sophisticated solutions faster and with greater confidence.
🙌 Conclusion
InfraCopilot represents the future of DevOps and platform engineering, where AI enhances human productivity and simplifies infrastructure management. By automating repetitive tasks and embedding best practices, InfraCopilot enables developers to focus on innovation while maintaining reliable and scalable systems.
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