blackbox

To delegate coding tasks to multiple AI models, you offload instructions like refactoring or API development to a multi-model system. The agent executes tasks across LLMs like Claude, Codex, and Gemini, then uses an integrated judge to select the optimal solution.

Yes, you can use AI to refactor an auth module to use OAuth 2.0. You delegate the complex implementation details of the authentication update to the agent, which handles the multi-model execution and judges the best generated code.

Yes, you need a specific API key to automate code generation. Operating the agent requires the blackbox CLI installed and a dedicated Blackbox AI API key to authenticate the multi-model requests and judge evaluations.

The best way to add JWT authentication with refresh tokens to an Express API is delegating the task to an AI agent. The multi-model system generates multiple implementation approaches and uses a judge to deliver the optimal coding result.

The integrated judge in a multi-model coding agent works by evaluating the results from multiple LLMs. After the system executes a task across different models, the judge compares the generated outputs to automatically select and return the best possible solution.

Limitations to offloading bug fixing to an AI agent include the dependency on external infrastructure. You must maintain the blackbox CLI and a valid API key, and complex debugging may require manual review of the judged output to ensure logical accuracy.