Free Lesson
AI product testing: find and fix bugs with synthetic users
Part of The Agent-Powered Super IC
45 min
Jun 11, 2026 12:00 PM
What you'll learn
Configure AI synthetic users to stress-test any product
Set up personas, scenarios, and run parameters in Codex / Claude Code so AI agents drive your product like real users.
Run 10 parallel AI users and triage what they find
Launch browser-based agents that surface UX bugs, broken flows, and persona-specific friction in under five minutes.
Replay failed sessions in Amplitude and fix bugs live
Jump from a flagged issue into Session Replay to see the exact failure, then ship a fix and verify with a re-run.
Why this topic matters
Most product teams discover bugs from real users, which means early users end up becoming the QA team. In a world of AI-generated code where teams build faster than ever, avoiding product slop has never mattered more. Testing your product with AI synthetic users lets you catch and fix bugs pre-launch, so you can build fast without sacrificing quality.
You'll learn from
George Xing
Previously AI and Data Product Manager at Stripe, Head of Analytics at Lyft
