Amazon’s ecommerce business has summoned a large group of engineers to a meeting on Tuesday for a “deep dive” into a spate of outages, including incidents tied to the use of AI coding tools.
The online retail giant said there had been a “trend of incidents” in recent months, characterized by a “high blast radius” and “Gen-AI assisted changes” among other factors, according to a briefing note for the meeting seen by the FT.
Under “contributing factors” the note included “novel GenAI usage for which best practices and safeguards are not yet fully established.”
We may start to see people realize that “have the AI generate slop, humans will catch the mistakes” actually is different from “have humans generate robust code.”
Not only that, but writing code is so much easier than understanding code you didn’t write. Seems like either you need to be able to trust the AI code, or you’re probably better of writing it yourself. Maybe there’s some simple yet tedious stuff, but it has to be simple enough to understand and verify faster than you could write it. Or maybe run code through AI to check for bugs and check out any bugs it finds…
I definitely have trusted AI to write miniature pointless little projects - like a little PHP page that loaded music for the current directory and showed a simple JS player in a webpage so I could share Christmas music with my family and friends. No database, no file uploading or anything. It worked decently, although not perfectly, and that’s all it needed to do.
*LLM