Reminds me when I asked Claude (through Windsurf) to create a S3 Lambda trigger to resize images (as soon as PNG image appears in S3, resize it). The code looked flawless and I deployed ..only to learn that I introduced a perpetual loop :) For every image resized, a new one would be created and resized. In 5 min, the trigger created hundreds of thousands of images ...what a joy was to clean that up in S3
This. Even with Junior Devs, implementation is always more or less deterministic (based on ones abilities/skills/aptitude). With AI models, you get totally different implementations even when specifically given clear directions via prompt.
Time to revisit the infamous "3 to 6 months, AI will be writing 90% of the code" statement. I wonder how the team is doing and what % of code is being written by AI at Athropic.
I would even say this applies to AI 'Vibe' editors. Like this issue with Windsurf happened to me (and others) https://www.reddit.com/r/Codeium/comments/1hr372j/windsurf_n...
Windsurf IDE (their AI assistant) simply refuses to connect - possibly IP addressed gets blocked by their system - no explanation or reason.