AI.Engineer SF Conference: Takeaways and Recordings

Despite numerous snafus—such as poor to nonexistent internet, big screens malfunctioning, unclear ticket access, general organizational issues, insufficient food for attendees, and high prices, and most speakers were primarily promoting their products. Still, this conference turned out to be one of my favorite events of the year and attracted an incredibly high level of talent.

Jory Pestorious wrote this fantastic summary of the top insights from the ai engineer conference:

1. Competition is about clear ideas; everyone can build today, so code and models are not a moat anymore.
2. Engineering excellence equals articulation excellence. Write specs that humans understand and that AI can execute.
3. Engineers need to learn how to use AI tools to 10x their output, or they’ll be left behind — harsh reality.
4. No code should go unreviewed; code debt grows faster than AI can fix it.
5. Claude code 🔥
6. MCP is becoming the standard; time to fully embrace it.

Link: http://jorypestorious.com/blog/ai-engineer-spec.

Another interesting report comes from Thomas Gear:

• AI coding complexity doubles every 70 days
• 50% of engineers use LLMs
• RAG leads customization at 70%
• costs dropped 600x (to $0.10/million tokens)
• models shrink (405B to 24B) while staying powerful
• Gemini’s market share jumped to 35% with 50x inference growth
• companies now design for AI to handle 80% of work.

Link: https://x.com/tg\_bytes/status/1931938102861271042

Here’s the recording of the general track. All the advanced talks in the RL track were just incredible and made the conference worth it.

https://www.youtube.com/watch?v=z4zXicOAF28&t=18946s

The highlight of the tech talk for me was Dan Han from Unsloth — a RL beast! https://x.com/danielhanchen/status/1930752903960211608.