09/11/2026
Are your AI agents writing code that is being released directly to live products? What if your client comes back with questions around why the business logic has unexpectedly changed? Who is accountable for that code if something unexpected changes, or just plain stops working?
Keeping humans with wide project context in the loop is key to ensuring there are no unexpected changes and that quality is maintained. This gives accountability a face, because you can guarantee your client isn’t going to be calling Claude Code at 2am, they’ll be calling you.