It was pretty surprising to me when I realised I could put 5 different bug reports into the same message and it would fix all of them.
Not quite as shocking as the original InstructGPT video, but surprising.
Not quite as shocking as the original InstructGPT video, but surprising.
It can then raise, investigate and resolve those problems while also patching up and rationalising logging to improve future work.
The AI deniers have their heads in the sands at this point and are demonstrating they simply haven't tried a modern agent. ( Or perhaps are forced onto copilot? )
Could be either, but also the free version of ChatGPT seems rather braindead compared to the paid version, or to the free version of Claude.
What some of us are saying is that AI is poor at figuring out what to build, how best to architecture it, and what to avoid.
Absolutely not at all. Every single day that I work with Claude, there is abundant evidence that AI sucks at these. Ask me for examples if you need them.
https://news.ycombinator.com/item?id=50220976
https://news.ycombinator.com/item?id=50165791
https://news.ycombinator.com/item?id=50159827
The first links shows a basic failure of reasoning, which would have gone unnoticed if I was just vibe-coding.
The second link shows weak architectural sense and an inability to see the big picture.
The last link in particular is telling: the agents worked with me (over weeks to months) to implement a db abstraction layer without ever bringing up the fact that as it stands, that would have never worked with any indexes at all. I did not constrain them to my choices, but they never stopped me with that design. It took my eagle-eyed attention to their offhand comments to notice this problem, which then required a lot of rework to fix.
For flagged threads, you can go to:
I suggest putting them on a blog or something and linking to that, rather than HN comments.
But it was pretty eye-opening to see how good it was at watching a user struggle and identifying possible fixes.