Andy Piper looks at applying autonomous AI to enterprise testing at scale, with the emphasis on reducing developer toil rather than generating more of it.
The session covers where autonomy genuinely helps in a testing workflow, and what has to be true for it to be trusted at enterprise scale.
Testing is where a lot of modernization work quietly stalls: the changes are safe in principle, but nobody can prove it fast enough to ship. That’s the gap the session is aimed at.
