blackbox

Multi-model code generation runs the same task across several models and compares outputs to select the best implementation. An automated judge evaluates the results to reduce manual back-and-forth for complex coding tasks.

You delegate coding tasks to an AI CLI by sending the task prompt, which runs it across multiple configured providers and judges the results. The system then returns the best implementation based on the automated evaluation.

Yes, you need an API key and configured providers to run multi-model coding tasks. The delegation process requires a Blackbox CLI setup to evaluate and compare outputs across different models.

Yes, you can use interactive sessions and checkpoints for feature implementation and debugging. The system supports ongoing dialogue and prompts during development work to help manage complex refactoring tasks.

The best way to automate code reviews across multiple models is to delegate the task to a multi-model CLI with built-in judging. This compares outputs across providers to identify the most accurate review.

You should not use multi-model delegation when you lack an API key or configured providers, as the CLI requires these to run. It is also less suited for simple tasks where automated judging provides no benefit.