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Inside Cursor: The future of AI coding with Co-founder Sualeh Asif
Manage episode 479752204 series 2973389
תוכן מסופק על ידי Lukas Biewald. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Lukas Biewald או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
In this episode of Gradient Dissent, host Lukas Biewald talks with Sualeh Asif, the CPO and co-founder of Cursor, one of the fastest-growing and most loved AI-powered coding platforms. Sualeh shares the story behind Cursor’s creation, the technical and design decisions that set it apart, and how AI models are changing the way we build software. They dive deep into infrastructure challenges, the importance of speed and user experience, and how emerging trends in agents and reasoning models are reshaping the developer workflow.
Sualeh also discusses scaling AI inference to support hundreds of millions of requests per day, building trust through product quality, and his vision for how programming will evolve in the next few years.
⏳Timestamps:
00:00 How Cursor got started and why it took off
04:50 Switching from Vim to VS Code and the rise of CoPilot
08:10 Why Cursor won among competitors: product philosophy and execution
10:30 How user data and feedback loops drive Cursor’s improvements
12:20 Iterating on AI agents: what made Cursor hold back and wait
13:30 Competitive coding background: advantage or challenge?
16:30 Making coding fun again: latency, flow, and model choices
19:10 Building Cursor’s infrastructure: from GPUs to indexing billions of files
26:00 How Cursor prioritizes compute allocation for indexing
30:00 Running massive ML infrastructure: surprises and scaling lessons
34:50 Why Cursor chose DeepSeek models early
36:00 Where AI agents are heading next
40:07 Debugging and evaluating complex AI agents
42:00 How coding workflows will change over the next 2–3 years
46:20 Dream future projects: AI for reading codebases and papers
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