Agent-based Generation

Agent-based generation uses specialized AI agents to analyze, optimize, and generate improved versions of your code. This approach leverages multiple agents working together to provide comprehensive code optimization and improvement.

When to use: If you need more refined and context-aware versions. Slower and more expensive than LLM, but higher quality.

Steps

• In the configuration panel, select Agent as your method.
• Define your prompt (predefined or custom).
• Select the LLM(s) you want to use.
• click generate versions.

Result: The Agent coordinates refinement across models and produces polished versions.

Next step:

• You can validate your generated targets.