Boosting AI Code Accuracy with Ensemble Mode

This article introduces an exciting 'ensemble mode' for AI coding agents, leveraging the variability in outputs from different Large Language Models (LLMs). By running multiple models in parallel and integrating the results, the approach aims to increase the accuracy of code generation. This innovative method promises to enhance code quality by mimicking the code review process used by human engineers.

• •Employs an 'ensemble mode' to improve code accuracy by running multiple LLMs in parallel.
• •Mimics the human code review process to identify and rectify potential errors.
• •Combines the strengths of different models (Codex and Gemini) to produce more reliable results.