Inside Cursor: The future of AI coding with Co-founder Sualeh Asif

What It Covers

Cursor co-founder Sualeh Asif explains building the popular AI coding editor, scaling to 100 million daily requests, infrastructure challenges, and the future of AI-assisted programming.

Key Questions Answered

• •Model Selection: Cursor uses DeepSeek models for their tab completion feature, processing hundreds of millions of requests daily due to superior pre-training and cost efficiency for coding tasks.
• •Product Philosophy: Ship features only when they feel genuinely useful in daily coding - if developers don't use it themselves for 10 hours daily, users won't adopt it either.
• •Infrastructure Strategy: Build custom indexing infrastructure handling billions of files daily using disaggregated storage on S3 with write-ahead logs for vector database operations at massive scale.
• •Context Windows: Large context windows (50,000-60,000 tokens per request) became crucial for agent functionality - models can't help effectively if they can't read your current file.