TRM x Cursor Dev Meet Up During AI Engineer World's Fair Week
Join TRM Labs and Cursor for an evening fireside chat in San Francisco during AI World's Fair week!
We'll sit down with TRM's Co-Founder & CTO and Cursor's Field CTO for an honest conversation about what it actually looks like to build software — and build companies — when AI is writing a meaningful chunk of your code.
Why attend
Hear two technical leaders go deep on the questions engineers and engineering orgs are wrestling with right now:
AI-assisted development in practice
How Cursor has changed day-to-day engineering at TRM — hiring, onboarding, and what "good engineering" looks like now
How Cursor performs on specialized, high-stakes codebases (blockchain intelligence, financial crime) vs. more common stacks
Where AI coding tools still hit a ceiling — and what problems remain firmly human
Building in the AI era
The compounding effect of building a technical product faster using AI tools — and what that does to your roadmap
How engineering teams are actually using Cursor vs. how Cursor expected they would
Code quality and ownership when AI generates a significant share of your codebase
The evolving engineer
Is the bottleneck shifting from writing code to knowing what to build?
What skills will matter more for engineers in five years, not less?
If AI tools 10x individual productivity, how does that change how you size and structure teams?
Who should attend
Engineers curious about how AI coding tools are reshaping their craft and careers
Engineering leaders and CTOs thinking through AI tool adoption and org design
Founders and builders designing products in the AI era
Anyone attending AI World's Fair looking for a smaller, more technical conversation
Agenda
5:30–6:00 — Check-in and networking
6:00–6:45 — Fireside chat: Rahul Raina (Co-Founder & CTO, TRM Labs) x David Pan (Field CTO, Cursor)
6:45–7:00 — Audience Q&A
7:00–7:30 — Drinks, food, networking
About TRM Labs TRM is where AI, on-chain financial flows, and real-world investigations unite: we build the intelligence layer that law enforcement, national security teams, and financial institutions use to disrupt ransomware, scams, sanctions evasion, and other global threats. Our engineering teams focus on large-scale data and systems problems — indexing many blockchains, modeling adversarial behavior, and building AI-assisted workflows that must be correct, explainable, and reliable for real-world decision makers.