With the introduction of Claude 4 models, Claude Code has become better at following instructions and executing tasks accurately on the first attempt, enhancing the coding experience.

Claude's ability to develop strategies and question previous approaches has improved, allowing it to backtrack and try different solutions when faced with challenges.

In October, Anthropic released upgraded models including Claude 3.5 and introduced the innovative feature of computer use, positioning itself as a leader in the rapidly growing AI agent landscape.

The new models, Claude Opus 4 and Claude Sonnet 4, have impressed us, particularly with their capabilities in agentic coding, which we are excited to integrate into Cursor.

Models like Claude can exhibit creative capabilities, such as proposing new scientific experiments based on extensive literature review, which challenges the notion that they can't innovate.

Different AI models exhibit distinct personalities; for instance, Claude is more human-like and steerable, while Lama 4 requires more guidance and is less flexible.

Testing with version 3.7 of Claude revealed significant improvements in its gameplay, making it much more capable than previous versions.

Initially, Claude struggled to find basic objectives in the game and showed slow progress with many mistakes, but with improvements in the model, it became more adept at navigating the game environment and was clearly improving over time by not getting stuck and trying different strategies.

The iteration process involves watching Claude, identifying its struggles, and providing it with minimal yet essential context to improve its reasoning.