Claude Strangelove, or: How I Learned to Stop Worrying and Reading AI-Generated Code [ukr]
How would you call a tech lead who reads and checks every single line of code their team writes? For me it is not a rhetorical question: in my career I built the contribution process for one of the largest repositories at Grammarly, for a hundred contributors monthly. Today every one of us has become a tech lead of a team of AI agents, and we ask ourselves and each other the same question: how do you call a person who does not read the code their agents generate?
Without going into the full controversy of that question, I believe the answer is fundamentally the same for a team of people and a team of agents. Properly built processes let the lead avoid micromanagement and reviewing every line in a pull request. In this talk I will show pragmatic recipes for building AI development that will bring you closer to trusting the code your AI agents write.
- Principal Software Engineer at Superhuman (formerly Grammarly)
- Over nearly nine years at the company, he has focused on 0-to-1 projects, taking ideas from concept to production
- In 2025, Yaroslav became one of the early drivers of AI coding adoption at Superhuman, leading the rollout of AI coding agents across the company and building the internal AI coding harness
- He hasn’t written a single line of code manually since May 2025