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Most teams have a version of the same story right now. Developers got faster with AI, more of the code is machine-written, & quality is where it strains. The testing & review process hasn't kept up, so the bottleneck moved downstream & production is where it tends to surface.
This dinner is a chance to compare notes with people in the same spot. What does autonomous software delivery actually look like once it's running, not on a conference stage? How are you keeping quality intact when AI is writing most of the code, & what's holding up versus what just sounds good in theory?
A small group of engineering leaders, an honest conversation, off the record. No slides & no pitch.
Hosted by Gal Vered, Checksum's co-founder & CEO
Gal left a product role at Google to build Checksum, which makes AI agents that write & maintain end-to-end tests so quality keeps pace with how fast teams ship. He'll be at the table for the conversation, not at the front of the room.
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