Tido Carriero (VP of Engineering, Cursor) shares how the team is building agent systems across the entire SDLC—from bug triage bots to security reviewers to growth experiment pipelines—and what it takes to break past the 40% productivity plateau.
0:00 - Most companies plateau at 40% more productive with AI coding assistants
2:39 - The broader SDLC is the real bottleneck, not just writing code
3:03 - Figuring out which steps still need humans
5:12 - The threshold problem and removing the rest of the bottlenecks
5:34 - Turning intelligence into software with polished agent artifacts
6:53 - Building agent teams outside the core build phase
7:20 - The PM agent and EM agent that started from a Slack channel
10:48 - The architecture of a fully autonomous bug triage system
12:59 - A security bot that has fixed over two hundred vulnerabilities
14:22 - Agentic risk detection that lets low-risk PRs skip human review
15:52 - Four agents that transformed growth experimentation throughput
18:53 - Organizational shifts for the agent era
