It's a very subjective topic. Some people claim it increases their productivity 100x. Some think it is not fit for purpose. Some think it is dangerous. Some think it's unethical.
Weirdly those could all be true at the same time, and where you land on this is purely a matter of importance to the user.
> Yet, I’d love to see less discussion driven by anecdotes and more discussion about productizing these tools, where they work, usage methodologies, missing tooling, KPIs for specific usecases. And don’t get me started on current evaluation frameworks, they become increasingly irrelevant once models are good enough at instruction following.
I agree. I've said earlier that I just want these AI companies to release an 8-hour video of one person using these tools to build something extremely challenging. Start to finish. How do they use it, how does the tool really work. What's the best approaches. I am not interested in 5-minute demo videos producing react fluff or any other boiler plate machine.
I think the open secret is that these 'models' are not much faster than a truly competent engineer. And what's dangerous is that it is empowering people to 'write' software they don't understand. We're starting to see the AI companies reflect this in their marketing, saying tech debt is a good thing if you move fast enough....
This must be why my 8-core corporate PC can barely run teams and a web browser in 2026.