Building Towards Self-Driving Codebases with Long-Running, Asynchronous Agents

Aman Sanger, co-founder and CTO at Cursor, will share how Cursor is building long-running coding agents that can autonomously execute more ambitious software tasks.

Key Takeaways:
Software engineering is quickly shifting to async agents that work independently and report back like colleagues
Self-driving codebases will require multi-agent systems that delegate specialized subtasks to the best model for each job
Developers will focus on building detailed, verifiable specs that serve as an implementation plan and evaluation suite

Industry: All Industries
Topic: Agentic AI / Generative AI - Code / Software Generation
Technical Level: Technical - Advanced
Intended Audience: Data Scientist
NVIDIA Technology: Hopper, Blackwell, DGX Cloud

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Видео Building Towards Self-Driving Codebases with Long-Running, Asynchronous Agents канала NVIDIA Developer