Overview
Jed Borovik from Google DeepMind opens the 2025 AI Engineering Code Summit in New York, welcoming attendees to a focused event on AI coding. He emphasizes that code is the most important problem in applied AI, referencing Richard Hamming’s famous question about working on the most important problems in your field. The summit is designed as an intimate, single-track event to bring together the best minds in AI coding across the entire industry.
Key Takeaways
- Focus on the most important problems in your field - Hamming’s principle applies directly to AI engineers who should prioritize coding challenges as the core bottleneck in applied AI
- Industry collaboration drives innovation faster than siloed efforts - Cross-company summits create more progress than individual company initiatives in advancing AI coding
- Intimate, focused events generate better outcomes - Single-track summits with carefully selected participants produce deeper insights than large-scale conferences
- AI coding represents the intersection of two critical domains - Those working in technology face AI as the defining challenge, while those in applied AI must solve code generation and automation
Topics Covered
- 0:00 - Conference Opening & Attendance Survey: Welcome to AI Engineering Code Summit, audience poll on previous AI conference attendance
- 1:00 - Speaker Introduction & Conference Purpose: Jed Borovik introduces himself as Gemini assistant lead and Jules coding agent product manager, explains why the conference exists
- 1:30 - Hamming’s Principle & AI Coding Priority: Discussion of Richard Hamming’s famous question about working on the most important problems, positioning code as the key challenge in applied AI
- 2:00 - Summit Format & Previous Day Recap: Explanation of summit vs world’s fair format, recap of leadership track talks from previous day
- 3:00 - Sponsor Acknowledgments: Recognition of DeepMind as presenting sponsor, mention of Gemini 3 and other new releases, thanks to all sponsor tiers