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محتوای ارائه شده توسط Lukas Biewald. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Lukas Biewald یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Inside Cursor: The future of AI coding with Co-founder Sualeh Asif

49:36
 
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Manage episode 479752204 series 2973389
محتوای ارائه شده توسط Lukas Biewald. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Lukas Biewald یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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

🎙 Get our podcasts on these platforms:


Follow Weights & Biases:


  continue reading

126 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 479752204 series 2973389
محتوای ارائه شده توسط Lukas Biewald. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Lukas Biewald یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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

🎙 Get our podcasts on these platforms:


Follow Weights & Biases:


  continue reading

126 قسمت

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