Why GPT-5.2 is our model of choice for Augment Code Review (www.augmentcode.com)

Augment Code Review has announced its successful implementation of GPT-5.2, achieving the highest accuracy on the sole public benchmark for AI-assisted code reviews, surpassing competitors like Cursor Bugbot and CodeRabbit by approximately 10 points in overall quality. This upgrade from GPT-5 was driven by a necessity for deeper reasoning capabilities, which are essential for identifying subtle bugs and understanding complex architectural implications. The model-agnostic design of Augment allows for selecting the optimal tool for each aspect of the software development lifecycle, enhancing performance further. GPT-5.2 excels in key areas crucial for effective code review. It makes comprehensive tool calls to gather pertinent context beyond just code diffs, ensuring a thorough evaluation of correctness in complex codebases. Although it requires more time for processing compared to faster models like Anthropic's Sonnet, this trade-off is beneficial for asynchronous code reviews where detail and depth are prioritized over immediate feedback. Augment envisions potentially extending GPT-5.2's capabilities to general code generation applications, continuing its mission to refine software development through cutting-edge AI techniques.