AI Docker Compose Generator

The generator handles any combination of services including web servers like Nginx and Caddy, databases like PostgreSQL, MySQL, and MongoDB, caches like Redis and Memcached, message queues like RabbitMQ and Kafka, object storage like MinIO, search engines like Elasticsearch, and your application containers. Each service uses official images with sensible defaults.

Services are configured with depends_on conditions and health checks to ensure proper startup order. Your application waits for the database to accept connections before starting, the reverse proxy waits for the application to be healthy, and so on. This prevents startup race conditions that cause connection errors in development environments.

Yes, the Standard and Full feature levels create named volumes for all stateful services. Database data, file uploads, and cache persistence are stored in named Docker volumes that survive container restarts and rebuilds. The configuration also notes which volumes contain critical data that should be backed up in production environments.

Select the Both option to generate a compose file with Docker Compose profiles. Development profile includes hot-reload volumes, debug ports, and development tools. Production profile uses optimized images, proper resource limits, and security settings. Switch between them with a simple environment variable or command line flag.

Yes, when enabled, a .env.example template is generated alongside the compose file. It includes all environment variables used in the configuration with sensible defaults for development and comments explaining each variable. Copy it to .env and customize for your environment — credentials, ports, and service-specific settings are all documented.