The progression of AI models has allowed Cursor to continuously improve its features, enabling more effective coding and problem-solving.

Every significant feature in Cursor now involves a custom model, which was a surprising and counterintuitive development for us, and Cursor's autocomplete experience predicts the next actions across multiple files and locations within a codebase, requiring models to be fast and specialized in understanding code diffs.

Gemini 2.5 Pro is our most intelligent model yet, and it excels in coding, leading on all major coding leaderboards.

The launch of the 2.5 Pro model represents a significant leap forward for Google, showcasing advancements in AI capabilities and performance across various benchmarks.

By combining the intelligence of the 3.5 Sonnet model with custom retrieval models, Cursor can now perform multi-file edits, which has driven mass adoption of the platform.

The model's vision of how people would program finally became effective, leading to competition with Cursor.

Building models for Cursor involves training them to autocomplete changes in a codebase, focusing on speed and accuracy in predicting both deletions and additions.

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.

As AI models become more powerful, the competition will favor those who create the best user experiences, allowing new entrants like Cursor to challenge established players like GitHub Copilot.