The last two years rewired how software gets made. AI went from autocomplete to writing entire features, and autonomous agents now build and ship software with barely a human in the loop.
Every engineering organization on the planet is asking the same question: what does this mean for how we build?
Yet most of that transformation has happened in prototypes and pilots, where nothing that breaks matters actually.
That phase is ending. AI is moving into real production systems, and with it come the questions that decide whether any of this holds up: how do you ship AI products that behave reliably when the AI itself doesn’t behave the same way twice?
How do you secure software that can be attacked in plain English? And how do you keep trusting the system when real users and real money are on the line?
