syntera-ai-cli 0.1.7.4

An AI-powered DevOps toolkit for infrastructure automation and analysis

SynteraAI DevOps Toolkit

An AI-powered DevOps toolkit for infrastructure automation and analysis. This tool helps DevOps engineers automate infrastructure recommendations, security scanning, code quality analysis, and more using AI.

Features

• 🤖 AI-powered infrastructure recommendations
• 🔒 Security scanning and analysis
• 📊 Code quality analysis
• 🐳 Docker file generation
• 📦 Dependency checking
• 👥 Contributor statistics
• 📝 Log analysis
• ⚡ Performance optimization suggestions

Installation

pip install syntera-ai-cli

Quick Start

1. Set up your OpenAI API key: linux:

export GEMINI_API_KEY='your-gemini-api-key-here'

windows(Powershell):

$env:GEMINI_API_KEY = "your-gemini-api-key-here"

Another great option: use .env file .

2. Run the dashboard

• in windows :

syntera-ai dashboard

• in unix (mac or linux):

sudo GEMINI_API_KEY=$GEMINI_API_KEY syntera-ai dashboard

3. Enter your GitHub repository URL when prompted.

4. Use the interactive dashboard to:

   • Generate infrastructure recommendations
   • Perform security scans
   • Analyze code quality
   • Generate Docker files
   • And more!

Usage Examples

Infrastructure Recommendations

syntera-ai dashboard
# Select option 2 for infrastructure recommendations

Security Scanning

syntera-ai dashboard
# Select option 3 for security scanning

Code Quality Analysis

syntera-ai dashboard
# Select option 6 for code quality analysis

Requirements

• Python 3.8 or higher
• Gemmini API key
• Git (for repository analysis)

🚀 Features

This tool provides a full DevOps automation pipeline, from containerization to deployment and monitoring setup. Follow the features in order for the best results.

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🐳 Docker Generation

Automatically generate Dockerfiles and docker-compose.yml based on your project’s structure and tech stack.

• Detects backend/frontend frameworks, ports, and dependencies.
• Creates service-specific Dockerfiles with best practices.
• Adds .env support if available.
• Ensures Nginx handling and proper ENTRYPOINT setup.

➡️ Output: Dockerfiles and a ready-to-use docker-compose.yml.

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🏗️ Infrastructure Provisioning

Generates full Ansible playbooks and reusable roles to deploy your app on a cloud server (e.g., AWS EC2).

• Provisions VPC, subnet, EC2, keypair, security groups.
• Installs Docker, sets up app containers, and deploys from your repo.
• Includes modular roles like install_docker, code_setup, docker_template, and optional database_service.

➡️ Output: Ansible main.yml and role directories under roles/.

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📈 Monitoring Audit

Analyzes your Prometheus & Grafana setup for observability and DevOps best practices.

• Reviews Ansible roles for monitoring (e.g., monitoring, alerting).
• Suggests improvements in metrics collection, dashboards, and alert rules.
• Ensures roles are modular and production-ready.

➡️ Output: An analysis report with improvement recommendations, in addition to eding the ansible playbook to automate generate grafana dashboard for server metrics.

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✅ Usage Order

To use this tool effectively:

1. Start with Docker Generation – containerize your services.
2. Proceed to Infrastructure Provisioning – deploy containers to the cloud.
3. Finish with Monitoring Audit – validate observability and alerts.

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Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Fouad Mahmoud

• GitHub: @fouadmahmoud281
• Email: [e-mail]