One thing I’d add is that usefulness also seems to depend on whether the task can be broken down. When you can split work into small pieces that are easy to check, generative models tend to work really well. But once those pieces start depending heavily on each other and the design constraints pile up, the pattern you describe shows up pretty clearly.
Very interesting. At Seedium, we also use AI to speed up development tasks, and it shows good results. We have cases when AI integration led to 2-3x faster delivery. I believe it depends on your experience. If you know what you're doing, AI will help you do it better.
Agree. As a software engineer, I use AI to speed up development tasks, but it requires my expertise and decision-making to work correctly. Definitely, AI becomes a vital part of a software developer's tech stack, but I believe that it's fine.
Hey everyone, I've been testing AI coding tools lately and decided to share the ones we work with at Seedium. Hope this will help you choose the best AI coding assistant for your specific needs, whether you are optimizing an existing product or scaling a growing team.
Good article. I'm not a marketer, but as a developer using AI, I agree that skills are crucial in working with this tool. AI can degrade developer productivity if there is no system. Recent studies show how prompting and bug fixing take more time than writing code manually.
Common situation for vibe-coded apps. They should really pay you for this. No jokes. Sooner or later, all vibe-coded apps needan expert audit and improvement. AI is good for fun, but not for sustainable businesses.