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
[00:04:50] Switching from Vim to VS Code and the rise of CoPilot
[00:08:10] Why Cursor won among competitors: product philosophy and execution
[00:10:30] How user data and feedback loops drive Cursor’s improvements
[00:12:20] Iterating on AI agents: what made Cursor hold back and wait
[00:13:30] Competitive coding background: advantage or challenge?
[00:16:30] Making coding fun again: latency, flow, and model choices
[00:19:10] Building Cursor’s infrastructure: from GPUs to indexing billions of files
[00:26:00] How Cursor prioritizes compute allocation for indexing
[00:30:00] Running massive ML infrastructure: surprises and scaling lessons
[00:34:50] Why Cursor chose DeepSeek models early
[00:36:00] Where AI agents are heading next
[00:40:00] Debugging and evaluating complex AI agents
[00:42:00] How coding workflows will change over the next 2–3 years
[00:46:20] Dream future projects: AI for reading codebases and papers
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