ORCA

Teams use ORCA when they need to change a Docker-Compose setup without getting lost in a large YAML file. A typical workflow starts by loading an existing compose file, then walking through the stack service by service to adjust images, ports, environment variables, dependencies, and restart behavior. As you make changes, the tool helps you keep related parts aligned—like attaching a service to the right network, wiring up volumes, or matching container names across references.

Orca fits well into day-to-day iteration. You can prototype a new container, duplicate a service for a worker or background job, and quickly confirm that required fields are filled in before you commit the update. When troubleshooting, it’s useful for spotting mismatches such as missing volume mounts, incorrect network links, or options that don’t belong where they were placed. After review, you export the configuration back into standard Compose so it can be run with the usual Docker commands in local environments, CI, or shared dev servers.

The built-in AI assistance is used as a helper during drafting and refactoring. It can propose starter definitions for common components, suggest settings when adding a database, cache, or reverse proxy, and help translate an idea like “add a queue worker” into a concrete service block. This makes it easier to move from a plan to a runnable stack, while still letting you verify and adjust the final output before shipping it to the repo.